, edited by David Fate Norton and Mary J. Norton, Oxford/New York: Oxford University Press, 2000.
The above citations may be used as the basis for further reading on this subject in the following way. Influential statements of the classical interpretation of Hume’s intentions can be found in Flew (1962), Penelhum (1975) and Stroud (1977). Prominent statements of 20 th century classical compatibilism that are generally taken to follow in Hume’s tracks include Schlick (1939), Ayer (1954) and Smart (1961). Davidson (1963) provides an important statement of the causal theory of action based on broadly Humean principles. A complete statement of the naturalistic interpretation is provided in Russell (1995), esp. Part I. For a critical response to this study see Penelhum (1998; 2000a), and also the earlier exchange between Russell (1983, 1985) and Flew (1984). The contributions by Botterill (2002) and Pitson (2016) follow up on some of the issues that are at stake here. For an account of Hume’s views on punishment – a topic that is closely connected with the problem of free will – see Russell (1990) and Russell (1995 – Chp. 10). For a general account of the 18 th century debate that Hume was involved in see Harris (2005) and Russell (2008), Chap. 16. See also O’Higgins introduction [in Collins (1717)] for further background. The works by Hobbes, Locke, Clarke and Collins, as cited above, are essential reading for an understanding of the general free will debate that Hume was involved in. Smith (1759) is a valuable point of contrast in relation to Hume’s views, insofar as Smith develops a naturalistic theory of responsibility based on moral sentiment (which Strawson follows up on). However, Smith does not discuss the free will issue directly (which is itself a point of some significance). In contrast with this, Reid (1788) is perhaps Hume’s most effective and distinguished contemporary critic on this subject and his contribution remains of considerable interest and value. With respect to Hume’s views on free will as they relate to his more general irreligious intentions see Russell (2008 – esp. Chp. 16). Similar material is covered in Russell (2016). Garrett (1997) provides a lucid overview and careful analysis of Hume’s views on liberty and necessity, which includes discussion of the theological side of Hume’s arguments and concerns. Helpful introductions discussing recent developments in compatibilist thinking, which are of obvious relevance for an assessment of the contemporary value of Hume’s views on this subject, can be found in McKenna (2004) and Kane (2005). Among the various points of contrast not discussed in this article, Frankfurt (1971) is an influential and important paper that aims to advance the classical compatibilist strategy beyond the bounds of accounts of freedom of action. However, as noted in the main text of this article, the work of P.F. Strawson (1962, 1985) is of particular importance in respect of the contemporary significance and relevance of Hume’s naturalistic strategy. Finally, for discussions of Hume’s compatibilism as it relates to his theory of causation see, for example, Russell (1988), Russell (1995), esp. Chaps.1–3, Beebee & Mele (2002), Harris (2005), Chap. 3, Millican (2010), and Berofsky (2012).
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Clarke, Samuel | compatibilism | determinism: causal | free will | Hume, David | Hume, David: moral philosophy | Hume, David: on religion | incompatibilism: (nondeterministic) theories of free will | incompatibilism: arguments for | luck: moral | moral responsibility | punishment, legal | Reid, Thomas
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Free will and neuroscience: from explaining freedom away to new ways of operationalizing and measuring it.
A commentary has been posted on this article:
Commentary: Free Will and Neuroscience: From Explaining Freedom Away to New Ways of Operationalizing and Measuring It
The concept of free will is hard to define, but crucial to both individual and social life. For centuries people have wondered how freedom is possible in a world ruled by physical determinism; however, reflections on free will have been confined to philosophy until half a century ago, when the topic was also addressed by neuroscience. The first relevant, and now well-known, strand of research on the brain correlates of free will was that pioneered by Libet et al. (1983) , which focused on the allegedly unconscious intentions taking place in decisions regarded as free and voluntary. Libet’s interpretation of the so-called readiness potential (RP) seems to favor a sort of deflation of freedom ( Soon et al., 2008 ). However, recent studies seem to point to a different interpretation of the RP, namely that the apparent build-up of the brain activity preceding subjectively spontaneous voluntary movements (SVM) may reflect the ebb and flow of the background neuronal noise, which is triggered by many factors ( Schurger et al., 2016 ). This interpretation seems to bridge the gap between the neuroscientific perspective on free will and the intuitive, commonsensical view of it ( Roskies, 2010b ), but many problems remain to be solved and other theoretical paths can be hypothesized. The article therefore, proposes to start from an operationalizable concept of free will ( Lavazza and Inglese, 2015 ) to find a connection between higher order descriptions (useful for practical life) and neural bases. This new way to conceptualize free will should be linked to the idea of “capacity”: that is, the availability of a repertoire of general skills that can be manifested and used without moment by moment conscious control. The capacity index, which is also able to take into account the differences of time scales in decisions, includes reasons-responsiveness and is related to internal control, understood as the agent’s ownership of the mechanisms that trigger the relevant behavior. Cognitive abilities, needed for one to have capacity, might be firstly operationalized as a set of neuropsychological tests, which can be used to operationalize and measure specific executive functions, as they are strongly linked to the concept of control. Subsequently, a free will index would allow for the search of the underlying neural correlates of the capacity exhibited by people and the limits in capacity exhibited by each individual.
The concept of free will is hard to define, but crucial to both individual and social life ( Kane, 2005 ). Free will can be the reason why someone is not sent to jail during a trial upon appealing to insanity: the subject was not “free” when they committed the crime, not because someone was pointing a gun to their head, but because a psychiatric illness prevented them from controlling their actions. According to a long-standing philosophical tradition, if someone was not “free” when they did something, they cannot be held responsible for their deed ( Glannon, 2015 ). And the freedom in question is both “social” freedom (linked to constraints imposed by our peers or by external factors), and the one indicated by the term free will .
Free will can be defined by three conditions ( Walter, 2001 ). The first one is the “ability to do otherwise.” This is an intuitive concept: to be free, one has to have at least two alternatives or courses of action between which to choose. If one has an involuntary spasm of the mouth, for example, one is not in the position to choose whether to twist one’s mouth or not. The second condition is the “control over one’s choices.” The person who acts must be the same who decides what to do. To be granted free will, one must be the author of one’s choices, without the interference of people and of mechanisms outside of one’s reach. This is what we call agency, that is, being and feeling like the “owner” of one’s decisions and actions. The third condition is the “responsiveness to reasons”: a decision can’t be free if it is the effect of a random choice, but it must be rationally motivated. If I roll a dice to decide whom to marry, my choice cannot be said to be free, even though I will freely choose to say “I do”. On the contrary, if I choose to marry a specific person for their ideas and my deep love for them, then my decision will be free.
Thus defined, free will is a kind of freedom that we are willing to attribute to all human beings as a default condition. Of course there are exceptions: people suffering from mental illness and people under psychotropic substances ( Levy, 2013 ). Nevertheless, the attribution of free will as a general trend does not imply that all decisions are always taken in full freedom, as outlined by the three conditions illustrated above: “We often act on impulse, against our interests, without being fully aware of what we are doing. But this does not imply that we are not potentially able to act freely. Ethics and law have incorporated these notions, adopting the belief that usually people are free to act or not to act in a certain way and that, as a result, they are responsible for what they do, with the exceptions mentioned above” ( Lavazza and Inglese, 2015 ).
It is commonly experienced that the conditions of “ability to do otherwise”, “control” and “responsiveness to reasons” are very rarely at work all at once. Moreover, they would require further discussion, because there is wide disagreement on those conditions as regards their definition and scope ( Kane, 2016 ). But for the purposes of this article, this introductory treatment should suffice. In fact, the description of free will that I have sketched here is the one that dominated the theoretical discourse on, and practical applications of, the evaluation of human actions. From a philosophical point of view, however, starting with Plato, the main problem has been that of the actual existence of freedom, beyond the appearances and the insights that guide our daily life. The main challenge to free will has been determinism: the view that everything that happens (human decisions and actions included) is the consequence of sufficient conditions for its occurrence ( Berofsky, 2011 ). More specifically, “It is the argument that all mental phenomena and actions are also, directly or indirectly, causally produced—according to the laws of nature (such as those of physics and neurobiology)—by previous events that lie beyond the control of the agents” ( Lavazza and Inglese, 2015 ). Determinism was first a philosophical position; then, the birth of Galilean science—founded on the existence of immutable laws that are empirically verifiable—has increased its strength, giving rise to the concept of incompatibilism, namely the idea that free will and natural determinism cannot coexist. Only one of them can be true.
Throughout the centuries, despite its conceptual progress, philosophy hasn’t been able to solve this dilemma. As a result, today there are different irreconcilable positions about human free will: determinism is not absolute and free will exists; free will does not exist for a number of reasons, first of all (but not only) determinism; free will can exist even if determinism is true ( Kane, 2011 ). A little more than 30 years ago, neuroscience and empirical psychology came into play. Although biological processes cannot be considered strictly deterministic on the observable level of brain functioning (nerve signal transmission), new methods of investigation of the brain, more and more precise, have established that the cerebral base is a necessary condition of behavior and even of mental phenomena. On the basis of these acquisitions, neuroscience has begun to provide experimental contributions to the debate on free will.
In order to better understand the neural bases of free will, provided that there are any, in this article I’ll review and integrate findings from studies in different fields (philosophy, cognitive neuroscience, experimental and clinical psychology, neuropsychology). Unlike previous reviews on free will and neuroscience ( Haggard, 2008 , 2009 ; Passingham et al., 2010 ; Roskies, 2010a ; Brass et al., 2013 ), I have no claim of being exhaustive. My goal is to highlight a paradigm shift in the analysis and interpretation of the brain determinants preceding and/or causing free or voluntary action ( Haggard, 2008 takes voluntary decision to be non-stimulus driven, as much as possible). Firstly, following Libet’s experiments, a widespread interpretation of the so-called readiness potential (RP) went in the direction of a deflation of freedom ( Crick, 1994 ; Greene and Cohen, 2004 ; Cashmore, 2010 ; Harris, 2012 ). Indeed, the discovery of the role of the RP has been taken as evidence of the fact that free will is an illusion, since it seems that specific brain areas activate before we are aware of the onset of the movement. However, recent studies seem to point to a different interpretation of the RP, namely that the apparent build-up of the brain activity preceding subjectively spontaneous voluntary movements (SVM) may reflect the ebb and flow of the background neuronal noise, which is triggered by many factors ( Schurger et al., 2016 ). This interpretation seems to bridge, at least partially, the gap between the neuroscientific perspective on free will and the intuitive, commonsensical view of it ( Roskies, 2010b ), but many problems remain to be solved and other theoretical paths can be hypothesized. After analyzing the change of paradigm of these perspectives, I’ll propose to start from an operationalizable concept of free will ( Lavazza and Inglese, 2015 ) to find a connection between higher order descriptions (useful for practical life) and neural bases.
The discovery of the readiness potential.
As a preliminary consideration, it is important to underline that the idea of using an experiment (or a series of experiments) to establish whether the human being can be said to have free will implies accepting a direct link between a measurement of brain functioning and a pre-existing theoretical construct. This direct connection, as it is known, presents several problems and as we shall see, needs conceptual refinement to avoid simplifications and unfounded claims. What one can see and measure in brain activity may in fact only grasp a part of the idea of free will that we would like to test. This was one of the main criticisms to the experiments conducted so far ( Mele, 2009 ; Nachev and Hacker, 2014 ). What is measured at the level of brain functioning in the laboratory does not match the concept of free will we refer to, for example, to determine whether someone who engaged in violent behavior could have done otherwise in that specific circumstance.
The first relevant, and now well-known, strand of research on the brain correlates of free will was that pioneered by Libet et al. (1983) , which focused on the allegedly unconscious intentions affecting decisions regarded as free and voluntary. It should be noted that the concepts involved—“conscious intentions”, “voluntary decisions”, “free decisions”—have no clear and shared definition ( Nachev and Hacker, 2014 ), and the experiments themselves have been differently interpreted and often criticized ( Lavazza and De Caro, 2010 ). In any case, Libet’s experiments and their variants have been repeated several times until very recently, confirming their findings with a sufficient degree of reliability.
Libet based his work on Kornhuber and Deecke’s (1965) discovery of the bereitschaftpotential : the RP, a slow build-up of a scalp electrical potential (of a few microvolts), mainly measured through electroencephalography (EEG), that precedes the onset of subjectively SVM ( Kornhuber and Deecke, 1965 ). According to its discoverers, the RP is “the electro-physiological sign of planning, preparation, and initiation of volitional acts” ( Kornhuber and Deecke, 1990 ). “The neurobiologist John Eccles speculated that the subject must become conscious of the intention to act before the onset of this RP. Libet had the idea that he should test Eccles’s prediction” ( Doyle, 2011 ).
In his experiments, Libet invited the participants to move their right wrist and to report the precise moment when they had the impression that they decided to do so, thanks to a big clock they had in front of them ( Libet et al., 1983 ). In this way, it was possible to estimate the time of awareness with respect to the beginning of the movement, measured using an electromyogram (which records the muscle contraction). During the execution of the task, brain electrical activity was recorded through electrodes placed on the participants’ scalps. The attention was focused on a specific negative brain potential, namely the RP, originated from the supplementary motor area (SMA): a brain area involved in motor preparation, which is visible in the EEG signal as a wave that starts before any voluntary movement, while being absent or reduced before involuntary and automatic movements.
When one compares the subjective “time” of decision and what appeared at a cerebral level, the result appears as a striking blow to the traditional view of free will ( Libet, 1985 , 2004 ). In the experiment, the RP culminating in the execution of the movement starts in the prefrontal motor areas long before the time when the subject seems to have made the decision: participants became aware of their intention to take action about 350 ms after the onset of such potential. The volitional process is detected to start unconsciously 550 ms before the action is made in the case of non-preplanned acts and 1000 ms before in the case of preplanned acts. Thus these findings seem to show that our simple actions (and therefore, potentially, also more complex ones) are triggered by unconscious neural activity and that the awareness of those actions only occurs at a later time, when we think we are willing to act.
In the first phase of its intervention in the debate on free will, therefore, neuroscience seemed to argue for a deflation of freedom. Neuroscientists identified a specific aspect of the notion of freedom (the conscious control of the start of the action) and researched it: the experimental results seemed to indicate that there is no such conscious control, hence the conclusion that free will does not exist. However, it is important to highlight that this interpretation strongly depends on the idea that free choices or actions are fully internally generated, in the sense that they are not externally determined—where “external” means outside the subject’s conscience and the subject is something akin to the self. As we shall see, though, this distinction seems to be neither relevant nor truly informative when considering if and how choices are free.
In fact, Libet left the subject some time to veto: about 150 ms. This is the time needed for the muscles to flex in response to the command of the primary motor cortex (M2) through the spinal motor nerve cells. In the last 50 ms the action is realized with its external manifestations (bending the wrist) without any more possible intervention by the prefrontal brain areas (see “The Veto Power” Section). Libet thought there was a role for conscious will precisely in this situation: conscious will can let the action go to completion or it can block it with the explicit veto of the movement implemented by the prefrontal areas ( Doyle, 2011 ). But the intentional inhibition of an action (a decision itself) is preceded by neural activity as well ( Filevich et al., 2012 , 2013 ). So it cannot be a completely different decision from that to take a positive decision to act.
In their experiments, Haggard and Eimer (1999) used Libet’s method, but asked the participants to perform a different task. They had to move at will either the right index finger or the left in a series of repeated trials. The authors have compared the RP and the lateralized readiness potential (LRP) in trials in which awareness appeared in shorter or longer time, that is, considering the latency of awareness compared to the RP. In their words, “the RP tended to occur later on trials with early awareness of movement initiation than on trials with late awareness, ruling out the RP as a cause of our awareness of movement initiation. However, the LRP occurred significantly earlier on trials with early awareness than on trials with late awareness, suggesting that the processes underlying the LRP may cause our awareness of movement initiation” ( Haggard and Eimer, 1999 ). From this, one can deduce that the awareness of the intention to move one finger or the other comes after the decision was “taken by the brain”, as reflected in the LRP.
Sirigu et al. (2004) and Desmurget et al. (2009) have shown that, repeating Libet’s experiments on patients with parietal lesions, it appears that they become aware of their decision to take action only when the action itself is being carried out. In these subjects the awareness of the decision does not even come before the beginning of the movement, as it tends to coincide with the motor action. It seems that in such cases the brain alteration has reduced, if not cancelled altogether, the interval of consciousness preceding the actual implementation of the action. The authors proposed that when a movement is planned, activity in the parietal cortex, as part of a cortical sensorimotor processing loop, generates a predictive internal model of the upcoming movement. And this model might form the neural correlate of motor awareness.
Fried et al. (2011) recorded the activity of 1019 neurons as 12 subjects performed self-initiated finger movements. They found progressive neuronal recruitment, particularly in the SMA, over 1500 ms before subjects reported making the decision to move. A population of 256 SMA neurons was sufficient to predict in single trials the impending decision to move: 700 ms before the participants became aware of the decision, the accuracy of the prevision was higher than 80%. Fried et al. (2011) were also able to predict, “with a precision of a few 100 ms, the time point of that voluntary decision to move”, and they implemented a computational model thanks to which “volition emerged when a change in the internally generated firing rate of neuronal assemblies crossed a certain threshold”.
A slightly different trend of research compared to Libet’s comprises studies suggesting that the conscious intention of an action is strongly influenced by events that occur after the action itself was performed. In this sense, intentions are therefore partially reconstructed according to a process of inference, based on elements that come after the action. For instance, a study by Lau et al. (2006) has produced results that empirically support this hypothesis. The authors have used transcranic magnetic stimulation (TMS) on the pre-supplementary motor (pre-SM) area, while the subjects were performing Libet’s task. The stimulation of the pre-SM through TMS happened at different time intervals, in relation to a simple voluntary movement. When the stimulation was applied 200 ms after the movement, the judgment W was moved back in time, indicating that the perception of the intention was influenced by the neural activity of the pre-SM after the motor action was made (cf. also Lau et al., 2004 ; Lau and Passingham, 2007 ).
In another experiment, Banks and Isham (2009) have set a slightly different version of Libet’s task: participants were asked to push a button whenever they wanted, and later they had to indicate the precise moment when they had the intention to do so. When they pushed the button, subject received an auditory feedback with a delay from 5 to 60 ms, so as to give them the impression that the response happened after they pushed the button. Even though the subjects weren’t aware of the delay between the action and the auditory feedback, the intention to press the button was reported as happening later in time, according to a linear function with the delay of the auditory signal feedback. The identification of the moment in which the subject had intended to press the button—measured by judgment W—was therefore largely determined by the apparent time of the subject’s response, and not the actual answer. This result indicates that the people evaluate the time when they have had the intention to take an action based on the consequences of their action and not just on the motor action itself.
Kühn and Brass (2009) conducted an experiment combining the paradigm of the stop signal ( Logan et al., 1984 ) with an intentional action paradigm. The subjects had to react in the quickest possible way by pushing a button as soon as a stimulus (e. g., a letter) was displayed at the center of a computer screen. Sometimes, just after the presentation of the stimulus, either a stop signal or a decision signal was shown: in the first case, the subjects had to try to stop responding; in the second case they could decide whether to press the button or stop responding. In the decision trials in which subjects had provided an answer, the subjects were asked if it had actually been the result of a decision, or if it had been inhibited—that is, if they had not been able to stop before the decision signal was presented.
The results have shown that in some instances, the subjects judged as intentional responses—i.e., as the result of a decision—those answers that in reality, on the basis of reaction times, were failed inhibitions. In other words, sometimes the subjects had a subjective experience of having intentionally decided to perform an action that they had actually not decided to take. These studies have empirically supported the hypothesis that the intentions to take voluntary actions are strongly influenced by events occurring after the execution of the action. In addition, they seem to confirm that the brain motor system produces a movement as the final result of its inputs and outputs; consciousness would be “informed” of the fact that a movement is going to occur and this would produce the subjective perception that the movement was decided voluntarily ( Hallett, 2007 ).
More recently, studying the activity of the frontal and parietal cortex, other neuroscientists of the group coordinated by Soon et al. (2008 , 2013) have managed to detect the “rise” of a behavioral or abstract choice/decision (to move either the right finger or the left one; to perform a mathematical operation or another with two numbers) a few seconds before the subject becomes aware of it. An unconscious brain process has already “decided” what to do when the subject still does not know what she would choose and thinks she still has the power to decide. More precisely, Soon et al. (2008) studied “free decisions” between many behavioral options using the multivariate pattern classification analysis (MVPA) which, combined with fMRI, allows one to identify specific contents of cognitive processes. “A pattern classifier, usually adopted from machine learning, can be trained on exemplars of neural patterns acquired when participants make different decisions and can learn to distinguish between these. If the activation patterns contain information about the decisions, the trained classifier can then successfully predict decision outcomes from independent data” ( Bode et al., 2014 ).
In Soon et al.’s (2008) experiment, subjects carried out a freely paced motor-decision task (choosing to press a button with either the left or the right index finger) while their brain activity was being measured using fMRI. The subjects then had to report the moment of the decision, not by using a clock as in Libet’s experiment, but by selecting a letter in a stream that was being presented during the task. Soon et al. (2008) used fMRI signals to find local neural patterns and draw from such patterns all possible information decoded second by second thanks to the statistical techniques of pattern recognition. The brain areas that were mostly involved in the performance of the actions are the primary M2 and the SMA, while two other brain regions encoded the subject’s motor decision ahead of time and with high accuracy. Indeed, the frontopolar cortex (BA10) and a portion of the cingulate cortex can be monitored to understand what kind of choice will be made by the person before they are conscious of having taken a specific decision in the task they were given. The prediction can be made, with a relevant approximation (60% mean accuracy), up to 7 s before the conscious choice is experienced by the subject, thanks to the fMRI signals detected in the BA10 (one should take into account that the subjects are asked to think hard about the choice before making it, whereas usually simple choices do not require long subjective reflection). “The temporal ordering of information suggests a tentative causal model of information flow, where the earliest unconscious precursors of the motor decision originated in frontopolar cortex, from where they influenced the buildup of decision-related information in the precuneus and later in SMA, where it remained unconscious for up to 10 s” ( Soon et al., 2008 ).
This seems to revive the old issue of God’s foreknowledge that forced theologians to wonder if man can be considered free, if someone already knows his future choices. Indeed, the authors speak of “free” decisions determined by brain activity ahead of time by placing “free” between inverted commas, as freedom is taken to be a commonsensical hypothesis. In this regard, the authors claim: “we found that the outcome of a decision can be encoded in brain activity of prefrontal and parietal cortex up to 10 s before it enters awareness. This delay presumably reflects the operation of a network of high-level control areas that begin to prepare an upcoming decision long before it enters awareness” ( Soon et al., 2008 ).
Another interesting study is that conducted by Alexander et al. (2016) : using a new experimental design, it found that the RP also occurs in the absence of movement. It suggests that “the RP measured here is unlikely to reflect preconscious motor planning or preparation of an ensuing movement, and instead may reflect decision-related or anticipatory processes that are non-motoric in nature” ( Alexander et al., 2016 ). The experimental design used a modified version of Libet’s task. Subjects had to choose between four letters whenever they wanted, by taking note of the exact moment of their choice. Later, in half the trials, the subjects had to push a button as soon as they made the decision, whereas in the other half subjects had to do nothing to mark their choice. At the end of the task, all subjects had to report when they had made their decision. In this way, by EEG, electrooculography (EOG) and electromyography (EMG), it was possible to see the RP of the decision-making both in motor and non-motor contexts.
The authors did not find any strong differences between the two RPs, thereby affirming that there is a pure cognitive contribution to RP that does not reflect processes related to movement. They thus suggest that cognitive RP might reflect action preparation, general anticipation and spontaneous neural fluctuations. Interestingly, they exclude that the RP reflects action preparation since it is a non-motor processing. And as to anticipation they cannot exclude that RP may be specifically associated with free choice. So the RP could merely reflect the average of spontaneous fluctuations (see “Other Neuroscientific Hypotheses on Free Will” Section).
All these experiments seem to indicate that free will is an illusion. Yet, these relevant experiments can be interpreted in many ways. A possible view is that, in some way, determinism can be observed directly within ourselves. This interpretation might lead to the conclusion that free will is just an illusion. In fact, if one considers as a condition of free will the fact that it should be causa sui (i.e., it should be able to consciously start new causal chains), such a condition is incompatible with determinism as it is usually defined. For it, in fact, all events are linked by casual relations in the form of natural laws, which started long before we were born and which we cannot escape.
However, determinism has generally been regarded as a metaphysical claim, not refutable by empirical findings. One could properly talk of automatism in the brain, not of determinism, based on the evidence available. (In any case, endorsing indeterminism might lead to consider our behavior as the causal product of choices that every time produce different results, as if we rolled a dice. This doesn’t seem to make us any freer than if determinism were overturned; cf. Levy, 2011 ). Most importantly, another feature of freedom seems to be a pure illusion, namely the role of consciousness. The experiments considered thus far heavily question the claim that consciousness actually causes voluntary behavior. Neural activation starts the decisional process culminating in the movement, while consciousness “comes after”, when “things are done”. Therefore, consciousness cannot trigger our voluntary decisions. But the role of consciousness in voluntary choices is part of the definition of free will (but the very definition of consciousness is a matter of debate, cf. Chalmers, 1996 ).
Empirical research in psychology also shows that our mind works and makes choices without our conscious control. As proposed by psychologist Wegner (2002 , 2003 , 2004) and Aarts et al. (2004) , we are “built” to have the impression to consciously control our actions or to have the power to freely choose, even though all that is only a cognitive illusion. Many priming experiments show that people act “mechanically” (even when their behavior might appear suited to the environment and even refined). Automatic cognitive processes, of which we aren’t always aware, originate our decisions, and they were only discovered thanks to the most advanced scientific research. Ultimately, consciousness, which should exercise control and assess the reasons for a choice, is thus allegedly causally ineffective: a mere epiphenomenon, to use the terminology of the philosophy of mind. This is what has been called Zombie Challenge , “based on an amazing wealth of findings in recent cognitive science that demonstrate the surprising ways in which our everyday behavior is controlled by automatic processes that unfold in the complete absence of consciousness” ( Vierkant et al., 2013 ).
These experiments have triggered a huge debate and led scientists, philosophers and intellectuals to claim (or insist even more, if they already denied free will) that free will doesn’t exist ( Greene and Cohen, 2004 ; Cashmore, 2010 ; Harris, 2012 ). It seemed as though neuroscience had produced empirical evidence against free will, so that the century-long debate on it could be considered solved. However, Libet’s experiments have been also criticized. Much criticism was directed to the philosophical interpretation of these studies ( Mele, 2014 ) or to their theoretical assumptions ( Nachev and Hacker, 2014 ), which are important but not relevant here. Among the forms of criticism, one has to mention the theories of action that separate the deciding from the initiating ( Gollwitzer, 1999 ; Gollwitzer and Sheeran, 2006 ). In that case, free and conscious deliberating could still have a relevant casual role, long before the actual performance of the action.
Other objections, more markedly neuroscientific, were made for instance by Trevena and Miller (2010) . They argued that the RP is not an intention to move, but only indicates that an attentional process is in place in the brain, since when subjects “attended to their intention rather than their movement, there was an enhancement of activity in the pre-SMA” ( Lau et al., 2004 ). In any case, “there was no evidence of stronger electrophysiological signs before a decision to move than before a decision not to move, so these signs clearly are not specific to movement preparation”, ( Trevena and Miller, 2010 ). Others have noted that the introspective estimates of event timing are disputable or inaccurate, and measures in general are not sufficiently exact ( Dennett, 1984a , b , 2003 ).
Other studies using multivariate pattern analysis with EEG confirmed that the subjectively free decisions might be made in the brain in the same way as evidence-based perceptual decisions ( Bode et al., 2012a , b , 2013 ). Indeed, Bode et al. (2012b) wrote,
we directly decoded choice-predictive information from neural activity before stimulus presentation on pure noise trials on which no discriminative information was present. Choice behavior on these trials was shown to be primed by the recent choice history. Modelling of sequential effects in RT and accuracy confirmed that such choice priming biased the starting point of a diffusion process toward a decision boundary, as conceptualized in evidence accumulation models of perceptual decision making ( Bode et al., 2012b ).
In other words, the authors found that internally (and maybe stochastically) generated neural activity can bias decisions that are expected to be stimulus-responsive or (possibly) reason-responsive. In this case, as in others that I will consider below, the understanding that we begin to have of the neuronal processes in play shows us that there is a complexity of factors at work. Some of these factors seem to be genuinely random, due to the pure noise produced by the default brain activity, while other factors can be traced back to the previous history of decisions taken in similar situations or related to the present one. Therefore, there is no “mysterious” start of the action as a linear process that, from the initial command, is then executed, as in Libet’s simplified model. Rather, this outcome is the result of a multiplicity of causal elements, which are homogeneous from the viewpoint of proximal mechanisms but of different relevance from the viewpoint of interpretation in terms of intentional psychology.
Another study has shown that attempts to account for (make sense of) insufficient perceptive clues use the same neural networks as those involved in “free” decision-making ( Bode et al., 2013 ). An fMRI-based pattern classifier can be trained to differentiate between different perceptual guesses and try to predict the outcome of non-perceptual decisions, like those made by the participants in the experiments considered so far. Specific activation patterns detected in the medial posterior parietal cortex have allowed the authors to make correct predictions on the participants’ free choices based on the previously decoded perceptual guesses decoded, and the other way round.
The task was the following: the participants were given a masked stimulus and had to say what category the stimulus belonged to. They had to freely choose among many categories. Thanks to the multivariate pattern analysis it was possible to identify the model of “free decisions” to make correct predictions in the context of perceptual judgments and identify the model of the “guess decisions”, to make correct predictions in the context of “free decisions”. It thus seems that a similar neural code for both types of decision is present. In those cases one could say that guessing is similar to making a free decision, since the brain, in the absence of sufficient external cues, has to decide internally. So perceptual decisions can be predicted from specific preceding neural activity when the brain doesn’t have enough internal elements to reach the threshold of perceptive decision.
Studies and commentaries have nevertheless drawn attention to possible confounds and bias in those experiments, namely they might be affected by previous choices with a form of auto-correlation in spontaneous decisions. In particular, Lages and Jaworska (2012) “trained a linear classifier to predict “spontaneous decisions” and “hidden intentions” from responses in preceding trials and achieved comparable prediction accuracies as reported for multivariate pattern classification based on voxel activities in frontopolar cortex”. Lages et al. (2013) have stressed a possible sequential information processing between trials that can introduce a confound, and recommended that “rather postulating a 50% chance level, prediction should be tested with a permutation test and/or separate multivariate classification analyses conditional on the previous response”.
The prediction of perceptual decisions from specific preceding neural activity is linked to what is defined “evidence accumulator model for free choice” ( Bode et al., 2014 ). The explanation starts with the fact that predictive activation patterns preceding decisions become increasingly similar to the patterns detected when the decision is consciously experienced by the subject. This could mean that a slow build-up of decision-related activity occurs, as it happens in accumulation of decision-related evidence to a decision threshold ( Ratcliff, 1978 ; Ratcliff and McKoon, 2008 ). Also, as already noted, when no external feedback is available, the previous choice is used as external feedback ( Akaishi et al., 2014 ). The history of previous decisions has a systematic effect on subsequent choices, related to the activity in medial posterior parietal cortex/posterior and posterior cingulate cortex ( Bode et al., 2011 , 2013 ). And the systematic effect can go in the direction of repetition or of avoidance of repetition depending on the task ( Mochizuki and Funahashi, 2014 ).
Here is an important point that deserves study from the neuroscientific point of view but also from that of a philosophical interpretation of free will. It consists in the fact that the internally generated brain activity has to do both with the stochastic noise and with the history of the subject’s choices. On the one hand, the stochastic noise comes both from the configuration that the brain has on average as a result of evolution (adaptive significance) and from individual development, resulting from random processes and environmental influences. On the other hand, the history of the choices is derived from the same process (in part stochastic) that I have just described.
In any case, if (at least some) very short-term decisions have a genesis similar to that described here, these decisions contribute to shaping the brain activity, and then, presumably, also to influencing decisions on a longer time scale that it is not yet possible to investigate experimentally. Ultimately, this could mean that there is a confluence of causal factors at the level of microdecisions. These factors add up in a way that it is hardly possible to tackle for current science. Then also the reasons motivating an action, typical of free actions, such as “I punched the stalker because it is right to punish those who behave in this way and because I wanted to set an example for all”, encoded in neural activity, can be part of the sum of neural causes.
In fact, experimental psychology has been trying to take into account long-term influences. In the so-called marshmallow experiment, researchers focused on delayed gratification ( Mischel et al., 1972 , 1989 ). A child was given a choice between one small, immediate reward and two small rewards (i. e. a larger reward) if they were able to wait some minutes while the psychologist left the room and then came back. Children who waited longer for the their rewards tended to have better life outcomes and accomplishments. Such experiments are relevant in terms of explanations and predictions, but it seems hard to trace behavioral profiles back to specific profiles of cerebral activation, once we are aware of the complexity of causal chains in the evidence accumulation model.
As Bode et al. (2014) write, in the hypothesis of an evidence accumulator that collects sensory evidence until a decision threshold is reached,
task instructions, participants’ internal motivation, and previous choices all have a strong influence on how decision tasks are performed when external information is either unavailable (as in free decisions), or unhelpful (as in perceptual guessing). In the case of free decision tasks, fluctuating intention for one or the other option may result from active competition between neural representations of both options in decision networks (or rather although not consciously monitored by the participants, the previous choice history, embodied in dynamic states of decision networks, can become the primary determinant of behavior, simply because nothing else is available ( Bode et al., 2014 ).
However, in this way things get more complicated and at a macroscopic level of behavioral observation, this blurs but doesn’t do away with the idea of free behaviors and behaviors that could be taken as unconscious decisions, of which we become aware only when the action has been performed. What remains to be solved is the problem of the distinction between external stimuli that trigger a stimulus-response circuit, and internal self-paced intentions and decisions that trigger voluntary circuit ( Haggard, 2008 ).
Beyond determinism and consciousness.
The concept of free will relevant to our moral and legal, personal and social practices is much more complex than that captured by the experiments considered up to now. But here what matters are not so much theoretical considerations or those derived from experimental psychology (such as the role played in decisions by implementation intentions, which then re-evaluate the active role of consciousness; Gollwitzer, 1999 ), but those that originate from the neuroscientific research itself. In what might be called a new phase of empirical investigation on free will, the problem of determinism and the role of consciousness is left in the background, and the focus goes to other factors that enter the brain mechanisms of decision-making, without asking first if those processes (necessarily the most simple, at least for now) are deterministic or stochastic. On the other side, neuroscientists are trying to confine the concept of free will to operationalizable situations, so as to measure it and be able to identify, at least as a goal, its neural correlates.
There is a line of research on non-human primates, but more recently also on humans, which studies fine decision-making at the neuronal level, bringing it back to a mechanistic process that might be the neuronal interface of our common sense descriptions. This trend has been well described by Roskies (2010a , b , 2013) , who is one of the major supporters of this approach. For example, in Shadlen and Newsome’s (2001) experiments, monkeys are trained to look at stimuli consisting of points that move randomly to the right and to the left and to “indicate” the overall direction of the points. The monkeys give this indication moving their eyes (with a saccade) to the right or to the left. What emerges is that the activity of the neurons of the lateral interparietal (LIP) area increases with the information in the sensory cells of the middle temporal (MT) area and upper middle temporal (MST) area. The discharge rates rise up to reaching a given level, at which the monkey performs the saccade and the neurons stop discharging. This is the threshold for a decision to take place. The time taken to reach the threshold level depends on the perceptual characteristics of the stimulus (the strength of the movement over time) and the discharges stop after the answer was given.
The discharges also depend on whether the monkey is asked to answer when he wishes, or rather to hold back the response until the signal is given for the saccade. If the monkey is asked to wait until the signal is given to respond, LIP neurons continue to discharge even in the absence of the visual stimulus ( Gold and Shadlen, 2007 ). According to Roskies (2010b) , this is the discharge scheme of a neuron involved in the decision-making process; the levels of discharge can be maintained in the absence of the stimulus, signifying the independence of the decision from the inputs on which it operates, and the activity continues until it reaches the critical level at which the response is generated, or until the neurons that represent the elements accumulated in favor of a different choice lead to eye movement. In addition, electrical stimulation of LIP neurons can influence the monkey’s decision, indicating that LIP cells causally contribute to the process that triggers decision and action ( Hanks et al., 2006 ). It remains, however, to be established whether this role is that of deliberation that leads to a decision or that of the decision itself.
The reaction times and the accuracy in the evaluation are very similar between monkeys and humans, with the probability of choice and the response time connected in a similar way to the difficulty of discriminating the stimulus, so that it can be assumed that also in humans these neural processes are similar. A mathematical description of the dynamics of this system allows one to talk about the race towards the critical threshold ( Gold and Shadlen, 2007 ; Wong et al., 2007 ). According to this model, the neuronal populations with specific response properties represent different “hypotheses”. The discharge rates represent the strength of the evidence in favor of those hypotheses based on evidence gathered from the environment. When the evidence for and against each hypothesis is integrated, the discharge rates reach or move away from the critical level, which represents the decision point. This is the point at which the animal “made a choice” about the overall direction of movement. The first group that reaches this threshold “wins”, leading the motor response.
Schurger et al. (2012) proposed a different interpretation of the premovement buildup of neuronal activity preceding voluntary self-initiated movements in humans as well. They used “a leaky stochastic accumulator to model the neural decision of “when” to move in a task where there is no specific temporal cue, but only a general imperative to produce a movement after an unspecified delay on the order of several seconds”. According to their model, “when the imperative to produce a movement is weak, the precise moment at which the decision threshold is crossed leading to movement is largely determined by spontaneous subthreshold fluctuations in neuronal activity. Time locking to movement onset ensures that these fluctuations appear in the average as a gradual exponential-looking increase in neuronal activity” ( Schurger et al., 2012 ).
The model proposed by Schurger et al. (2012) accounts for the behavioral and EEG data recorded from human subjects performing the task and also makes a specific prediction that was confirmed in a second electroencephalography experiment: fast responses to temporally unpredictable interruptions should be preceded by a slow negative-going voltage deflection beginning well before the interruption itself, even when the subject was not preparing to move at that particular moment. The task was to repeatedly push a button, sometimes at will, sometimes in response to a sound produced by the experimenters according to a causal sequence. The speed of response (pressing the button) when the sound is produced is related to the proximity to the peak of the background brain activity, which appears to be random, an ebb and flow that has its highest point in the threshold at which it produces the decision to push the button.
According to this explanation, “the RP does not reflect processing within a specific action domain. Our finding that movement does not significantly modulate RP amplitude supports this aspect of their claim by extending the RP to the domain of covert decisions” ( Alexander et al., 2016 ). Another consequence is the fact that the neural decision to move at a specific time happens much later compared to Libet’s hypothesis, and the RP is only a by-product of a drift diffusion process. But the RP would still be predictive in that it precedes action and conscious awareness of both motor and cognitive action. However, the RP is predictive with regards the whether and the when, if a known task is performed, but not with regards to the what of the action ( Brass and Haggard, 2008 ).
Jo et al. (2013) seems to go in the same direction with their work: they considered both the positive and the negative potential shifts in a “self-initiated movement condition” as well as in a no-movement condition. The comparison of the potential shifts in different conditions showed that the onset of the RP appeared to be unchanged. “This reveals that the apparently negative RP emerges through an unequal ratio of negative and positive potential shifts. These results suggest that ongoing negative shifts of the SCPs facilitate self-initiated movement but are not related to processes underlying preparation or decision to act” ( Jo et al., 2013 ).
Murakami et al. (2014) confirmed those findings. They used rats, who had to perform a specific task: wait for a tone (which was purposely delayed) and decide when to stop waiting for it. The rats’ neuronal activity of the secondary M2 was recorded and resulted consistent with the model of integration-to-bound decision. “A first population of M2 neurons ramped to a constant threshold at rates proportional to waiting time, strongly resembling integrator output. A second population, which they propose provide input to the integrator, fired in sequences and showed trial-to-trial rate fluctuations correlated with waiting times” ( Murakami et al., 2014 ). Also, an integration model based on the recorded neuronal activity in the considered brain areas has allowed the researchers to quantitatively foresee the inter-neuronal correlations manifested during the task performance. “Together, these results reinforce the generality of the integration-to-bound model of decision-making. These models identify the initial intention to act as the moment of threshold crossing while explaining how antecedent subthreshold neural activity can influence an action without implying a decision” ( Murakami et al., 2014 ).
Schurger et al. (2016) stress that the main new finding about the brain activity preceding SVM “is that the apparent build-up of this activity, up until about 200 ms pre-movement, may reflect the ebb and flow of background neuronal noise, rather than the outcome of a specific neural event corresponding to a “decision” to initiate movement”. The model used is the bounded-integration process, “a computational model of decision making wherein sensory evidence and internal noise (both in the form of neural activity) are integrated over time by one or more decision neurons until a fixed threshold-level firing rate us reached, at which the animal issues a motor response. In the case of spontaneous self-initiated movement there is no sensory evidence, so the process is dominated by internal noise” ( Schurger et al., 2016 ). The stochastic decision model (SDM) used by Schurger et al. (2012) allowed them to claim that bounded integration seems to explain stimulus-response decision as relying on the same neural decision mechanism used for perceptual decisions and internal self-paced intention and decision as “dominated by ongoing stochastic fluctuations in neural activity that influence the precise moment at which the decision threshold is reached” ( Schurger et al., 2016 ). And this mechanism seems to be shared with all animals including crayfish ( Kagaya and Takahata, 2010 ).
The philosophical implications could be that “when one forms an intention to act, one is significantly disposed to act but not yet fully committed. The commitment comes when one finally decides to act. The SDM reveals a remarkably similar picture on the neuronal level, with the decision to act being a threshold crossing neural event that is preceded by a neural tendency toward this event” ( Schurger et al., 2016 ).
Another recent study has brought back to the center of neuroscientific research the space of autonomy that the subject seems to have compared to the idea of free will as an illusion supported by the experiments based on the alleged unconscious onset of the action. Schultze-Kraft et al. (2016) showed that people are able to cancel movements after elicitation of RP if stop signals occur earlier than 200 ms before movement onset. In the real-time experiment, “subjects played a game where they tried to press a button to earn points in a challenge with a brain–computer interface (BCI) that had been trained to detect their RPs in real time and to emit stop signals” ( Schultze-Kraft et al., 2016 ).
The subjects had to press with their foot a button on the floor after a green light flashed: they could so whenever they wanted after about 2 s. Participants earned points if they pressed the button before the red light to come back (the stop signal). The experiment was composed of three phases. In the first phase, the stop signals were lit at random and the movements of the subjects were not predicted. In the second phase, the authors used data taken from the EEG on the participants in the first phase. In this way a classifier was trained to predict (with imperfect accuracy) the movements (the When and the Whether, not the What). In this phase, the BCI could foresee the fact that the subject would press the button thanks to the detection of the RP and therefore turned on the red light to earn points against the subject if it could not stop the movement. In the third phase, the subjects were informed that the BCI could “see their preparation of the movement” and they had to try to beat the computer by moving in an unforeseeable way.
In all phases of the experiment, there was no difference between RPs. While in the first phase, in 66.5% of the cases, subjects were winning by pressing the button with the green light on, in stages two and three trials in which subjects were able to beat the computer, by not pushing the button with the red light on, decreased to 31%, and warning participants of the prediction of the BCI would not help them do any better. The authors could thus claim that “despite the stereotypical shape of the RP and its early onset at around 1000 ms before EMG activity, several aspects of our data suggest that subjects were able to cancel an upcoming movement until a point of no return was reached around 200 ms before movement onset. If the stop signal occurs later than 200 ms before EMG onset, the subject cannot avoid moving” ( Schultze-Kraft et al., 2016 ). The explanation of the minimum threshold of 200 ms could reflect the time necessary for the stop signal to light up, the subject to perceive it and cancel the movement that was already being prepared.
As to which cortical areas are involved in vetoing an already initiated movement, some studies have tried to identify them. Brass and Haggard (2007) examined the voluntary inhibition using an experimental paradigm that was based on the Libet task. The subjects were asked to press a button while watching a cursor moving along the face of a clock. Every time, after pressing the button, the subjects had to signal the precise moment when they thought they decided to press the button. In addition, the instructions specified that the participants had to inhibit the execution of the response in some tests of their choice. Comparing this voluntary inhibition condition with the condition in which the action had not been inhibited, the authors observed an activation of the dorsal fronto-medial cortex (DFM). This area is different from the brain regions involved in the stop signal tasks, in which the inhibition is controlled by external signals. Furthermore, the DFM cortex is also distinct from the brain regions controlling the activity linked to the when and what components of voluntary action. Brass and Haggard (2007) have interpreted this finding as evidence that there is a mechanism of voluntary inhibition that can be dissociated, in neuroanatomo-functional terms, from an “environmental” inhibiting mechanism, which involves the lateral prefrontal cortex.
This finding was replicated in a subsequent study of Kühn et al. (2009) , in which the subjects had to avoid dropping a ball sliding down a ramp, by pressing a button before the ball came down and broke. In some tests of their choice, they could choose to voluntarily inhibit the response. The comparison of the condition of voluntary inhibition with the condition of voluntary action still showed activation of the DFM cortex, supporting the idea that this area is involved in the inhibition of voluntary action ( Schel et al., 2014 ).
Finally, Schultze-Kraft et al. (2016) declared to be agnostic about the interpretation of their data in regards of RP. As the RP is predictive of the subsequent movement, it could be read as “the leaky integration of spontaneous fluctuations in autocorrelated neural signals”. Theoretically, the question remains about the departure of the intention to block the action while the movement is being prepared, along with the possible coexistence of two intentions suggested by the commands of the experimenters. The participants in the experiment, in fact, want to win against the computer, therefore they want to push the button, and also have the intention, partly contrasting, not to push the button when the computer turns the red light on.
This novel perspective offered by the line of research by Schurger et al. (2012) here described works on very simple decision-making processes and could be exposed to the same criticism in this regard have been made to Libet’s research line. But Roskies (2010b) has suggested some tracks along which to develop research on more complex decision-making processes, close to those relevant to social life. First, one must introduce the value of the decision, seen as a subjective or moral feature that drives action. By manipulating the expected rewards for correct action or for a particular type of decisions, or by manipulating the probabilities of the outcomes, both the decision and the activity levels of LIP neurons are altered ( Platt and Glimcher, 1999 ; Glimcher, 2002 ; Dorris and Glimcher, 2004 ; Sugrue et al., 2004 ). In this way it is possible to change the monkey’s choice about the objective of the saccade by offering her favorite reward. Although it is not known how the figures are represented, it seems that the Lip neurons can integrate the information on the value or on the reward in the decision-making process, and that information has a causal role.
As for the reasons, and the responsiveness to them, Roskies (2010b) suggests that also the reasons, albeit discursive and propositional, may be encoded as information at the neuronal level. Simplifying, in her view one might think that in a situation where, say, there is little food and many people, different populations of neurons represent the content “I am hungry”, while others represent “others need this more than I do”, others “the weak come first” and so forth, weighing reasons in terms of activation and modulation of the response of the populations of neurons delegated to the choice and the final decision. However, such a model ( Dorris and Glimcher, 2004 ) should be considered as purely hypothetical because first we do not know what are the specific populations of neurons, we don’t yet have the instruments to identify them, and we do not know their interactions (also considering the recent failures of naturalized semantics).
Secondly—and perhaps most importantly—it is unclear how what we externally call “reasons” could be activated and weighed by the decision-maker understood as a unitary subject or self, according to the description for which we truly act based on reasons. In this case, I believe one cannot seek a simple neural interface for commonsensical concepts and notions. In fact, the idea of a deep and unitary self—the idea of a conscious subject controlling her behavior instant by instant—has been strongly challenged by evidence coming from empirical psychology and cognitive neuroscience ( Dennett, 1991 ; Metzinger, 2004 , 2009 ). Therefore, one should avoid the temptation to reproduce such a description in neural levels. But if we trace back the reasons to populations of neurons in a mechanistic model—if we trace them back to thresholds—it is not easy to figure out who makes the decisions and why. If it is true that some people seem to be more sensitive to specific reasons, other than those to which other people are sensitive, and if people can change over time the reasons by which they are usually motivated, and in certain situations the same people may not to respond to the reasons to which they are usually sensitive, one has to wonder if what prevails are processes that we would call random or that, in any case, are beyond our control.
Here the role of consciousness seems again to be relevant. If experiments à la Libet seemed to have ruled it out from a causal standpoint, the experiment by Schultze-Kraft et al. (2016) on movement vetoing seems to reassess its role in blocking the preparation process triggered in the brain. In this sense, this seems to be a more realistic line of neuroscientific investigation on free will, one that contemplates, even in broad terms, stochastic brain processes, for the most part triggered by environmental stimuli, which often are not aware of (the same as our train of thoughts arising spontaneously without us being able to orientate it from the beginning), but also by spontaneous activity of the brain ( Changeux, 2004 ; Brembs, 2011 ) that creates models of reality. “Learning mechanisms evolved to permit flexible behavior as a modification of reflexive behavioral strategies. In order to do so, not one, but multiple representations and action patterns should be generated by the brain” ( De Ridder et al., 2013 ). And this repertoire is not infinite. Indeed, “our evolutionary-evolved brain potential to generate multiple action plans is constrained by what is stored in memory and by what is present in the environment” ( De Ridder et al., 2013 ). Schurger and Uithol (2015) also argue that the “actions emerge from a causal web in the brain” and that the “proprioceptive feedback might play a counterintuitive role in the decision process”. They, thus recommend the use of dynamical systems approach for the study of the origins of voluntary action.
On these spontaneous processes we can exercise control, which can be considered automatic and unconscious when evaluated with the classical theoretical criteria of conscious control. First, there is an innate behavioral repertoire of provisions linked to survival in the environments within which we evolved. Secondly, there is a repertoire of behavioral provisions that is stratified in terms of conscious repetitions due to environmental stimuli or to internal choices (with all the limitations that this expression has in reference to the brain mechanisms analyzed so far) and then becomes automatic. The control can, however, also be explicit, with obvious limitations and cases of complete control failure. Based on this complex self-construction (which has a neural correlates), we are creatures with a higher or lower degree of free will. This free will may then be better understood and circumscribed, so as to be more objectively operationalized and also measured.
My view is that a richer conceptualization of free will—one that is able to overcome the stall of the metaphysical debate as well as the current difficulties of neuroscience ( Nachev and Hacker, 2014 ) and empirical psychology ( Nahmias, 2014 )–has to be linked to the idea of “capacity”. In fact, as claimed by Mecacci and Haselager (2015) , the kind of free will investigated by neuroscientific experiments, which is self-generated and defined according to the absence of cues, “does little justice to the common sense practice of holding people responsible for their freely willed actions that consists in asking explanations and justifications from the actor” ( Mecacci and Haselager, 2015 ).
Another important point is that there are differences in time scales between laboratory tasks (the milliseconds to seconds time range) and real life or, better, life as we measure it temporally (seconds, minutes, hours, weeks, years) regarding decisions that really concern us. Even if the underlying mechanism might be the same, the experiments described so far cannot investigate whether decisions with a longer maturation process are free and to what extent they are such. It might be possible to distinguish between proximal and distal mechanisms, but this doesn’t seem feasible lacking the tools to address decisions involving longer time scales. For this reason it might be useful to introduce other and different ways to conceptualize and operationalize (supposedly) free actions.
“By capacity, in the context of free will, we mean the availability of a repertoire of general skills that can be manifested and used without the moment by moment conscious control that is required by the second condition of free will we have previously seen” ( Lavazza and Inglese, 2015 ). The concept of capacity is related to that of internal control, understood as the agent’s “ownership” of the mechanism that triggers the relevant behavior and the reasons-responsiveness of that mechanism ( Fischer and Ravizza, 2000 ). And reasons-responsiveness must involve a coherent pattern of reasons-recognition. “More specifically, it must involve a pattern of actual and hypothetical recognition of reasons that is understandable by some appropriate external observer. And the pattern must be at least minimally grounded in reality” ( Lavazza and Inglese, 2015 ). The concept of capacity used in this sense, and combined with the idea of reasons-responsiveness, also avoids the objection of determinism that has always weighed on the debate on free will. From a philosophical point of view, the approach related to capacity may fall indeed in the strand of so-called compatibilism, which defends the fact that human freedom can exist even if determinism is true of the physical world.
Cognitive abilities might be firstly operationalized as a set of neuropsychological tests, which can be used to operationalize and measure specific executive functions, as they are strongly linked to the concept of control. Executive functions, also known as control functions, are essential to organize and plan everyday behavior—which is not the instant behavior found in Libet’s experiments. Those skills are necessary to perform the greater part of our goal-oriented actions. They allow us to modulate our behavior, control its development and change it according to the environmental stimuli (the environment being both physical and social). Also, executive functions allow us to change our behavior based on it effects, with a sophisticated feedback mechanism; finally, they are also necessary for tasks of abstraction, inventiveness and judgment. Those who, for whatever reason, have a deficit in their executive functions cannot respond to their social environment appropriately, and struggle to plan their behavior or to choose between alternatives based on their judgment or interest. Sufferers of these deficits in executive functions often fail to control their instinctive responses and to modify their regular courses of action, or are unable to concentrate or persist in the pursuit of a goal ( Barkley, 2012 ; Goldstein and Naglieri, 2014 ).
In general terms, the executive functions refer to the set of mental processes necessary for the development of cognitive-behavioral patterns adaptive in response to new and demanding environmental conditions. The domain of executive functions includes ( Lavazza and Inglese, 2015 ):
• the ability of planning and evaluation of effective strategies in relation to a specific purpose related to the skills of problem-solving and cognitive flexibility.
• inhibitory control and decision-making processes that support the selection of functional response and the modification of the response (behavior) in relation to changing environmental contingencies.
• attentional control referred to the ability to inhibit interfering stimuli and to activate the relevant information.
• working memory referring to the cognitive mechanisms that can maintain online and manipulate information necessary to perform complex cognitive tasks.
• (and it can be added with regards to free will) creativity and the ability to cope with environmental changes through novel solutions.
Those of empirical psychology are higher order concepts, which act as a bridge between free will, which is something that is not in the brain but can be observed in behavior (along with its causes), and the underlying brain processes. It has been convincingly suggested that in the construction of a hierarchy of mechanisms and explanations ( Craver, 2007 ), also to guide the exploration, one must go from inside to outside and from outside to inside. One goes from measurable skills to their brain basis, and from the tentative index of free will to the underlying (real) mechanisms.
Based on the evidence presented, I believe that a viable proposal is to construct an index related to compatible tests whose relevance can be uniformly ascertained. It would be a kind of IQ-like profile that would allow for the operationalization and quantification of a person’s cognitive skills. All the tests used (for example, Stroop Test, Wisconsin Card Sorting Test, Weigl’s Color-Form Sorting Test, Go-No Go Test) should be related to the subject’s age and education and then transformed in new standardized scores (Equivalent Scores, ES) on an ordinal scale, e. g. ranging from 0 to 4, with 0 representing scores below cut-off point and 4 representing scores equal to or better than average. Specific standardized scores exist in many countries or linguistic areas. The subjects would get for each test a raw score (or RS), given by the sum of the scores obtained in each item that makes up the test, which would then be standardized.
A synthetic index such as the one here proposed measures a certain range of cognitive and behavioral control skills that configure a certain kind of free will at the psychological-functional level. These are potential capacities measured with standardized instruments in laboratory situations, which do not consider any other factors that may restrict the freedom of a subject in specific situations, such as those that are relevant in moral scenarios and legal contexts. The same goes for moral judgment. However, an index such as the one I’m proposing here could be the first step, albeit certainly imperfect, towards more objective measures to discriminate between people who have more or less “free will” or, in other words, are more or less capable of self-control and rational choice (i.e., a reasons-responsive choice).
This hypothesis would be in line with the proposals of operationalizing free will advanced so far. According to Vohs (2010) , freedom might be conceived of as the sum of executive functions and goal-directed, future-oriented behaviors, which include rational choice, planning, intelligent thought, and self-control. Free will can be then constituted by a limited stock of energy, devoted to guiding executive functioning processes. The free will index I am proposing is also consistent with Baumeister’s contribution:
Psychologists should focus on what we do best: collecting evidence about measurable variance in behaviors and inner processes and identifying consistent patterns in them. With free will, it seems most productive for psychologists to start with the well-documented observation that some acts are freer than others. As already noted, dissonance, reactance, coping with stress, and other behaviors have been shown in the laboratory to depend on variations in freedom and choice. Hence, it is only necessary to assume that there are genuine phenomena behind those subjective and objective differences in freedom. In a nutshell, we should explain what happens differently between free and unfree actions ( Baumeister, 2008 ).
Empirical research on how human beings work has recently focused on self-control as a feature of free will. Self-control can be defined as the exertion of willpower on behavior. Self-control is thus generally regarded as the capacity to override inappropriate impulses and automatic or habitual responses and to suppress or delay immediate gratification so as to reach a long-term goal ( Gailliot and Baumeister, 2007 ). “Being in control” includes the capacity to maintain goals, to balance long- and short-term values, to consider and evaluate the consequences of a planned action, and to resist being “carried away by emotion” ( Churchland, 2006 ). Self-control can also be regarded as the ability of higher-order functions to modulate the activity of lower-level functions, where higher-order functions manifest themselves externally in complex behavior, adjusted according to the environmental needs, while lower-level functions are manifested in simple and stereotyped behaviors, not adjusted according to the demands of the environment ( Roskies, 2010a ). Everyone exhibits a different degree of self-control compared to other individuals, and for each person the degree of self-control varies over time ( Baumeister et al., 2006 ; Casey et al., 2011 ; Dang et al., 2015 ). The variability of self-control that is manifested in behavior and can be measured with the test has its base in neuronal functioning, which in turn depends on education and habits, external circumstances and the internal neuronal noise.
However, two executive functions turn out to be central:
(i) the ability to predict the future outcomes of a given action; and (ii) the ability to suppress inappropriate, i.e., not sufficiently valuable, actions. Importantly, these two executive functions operate not only during the genesis of an action, but also during the planning of an already selected action. In fact, during the temporal gap between the time when an action has been chosen and the moment when the motor output is going to be generated, the context might have changed, altering the computed value of the action and thus requiring a radical change of the planned motor strategy ( Mirabella, 2014 ).
It seems that the peculiarity of our freedom at the cognitive level is the ability to modulate or block courses of action that environmental stimuli automatically or unconsciously arouse in us—a reproposal in different form of Libet’s free won’t and Schultze-Kraft’s vetoing . These psychological-functional indicators must then lead to their cerebral bases. For instance, one can consider a situation in which one’s needs are satisfied (or not) and the consequent motivation to act based on the evaluation process of the need satisfaction.
This is an essential process and one that is continuously performed by our motor system. In fact, in most places where we live, if not all, we are surrounded by tools whose sight automatically activates motor schemas that would normally be employed to interact with those objects. These actions are prompted by the features of the objects, the so-called affordances ( Gibson, 1979 ). It has been shown that even the simple observation of pictures depicting affordable objects (such as graspable objects) activates a sub-region of the medial frontal cortex, the SMA, even when there is no requirement to actually act on those stimuli ( Grèzes and Decety, 2002 ). These stimulus-driven activations are rapid, involuntary, and unconscious ( Mirabella, 2014 ).
Environmental stimuli, in this case, can induce a subject to make specific choices through a priming process that exploits our action tendencies. Typically, individuals are able to control their behavior, but in some cases they fail to do so; for example if suffering from microlesions of the SMA, people have a tendency to invariably implement a certain type of action, even if the environment, both physical and social, does not require it ( Sumner et al., 2007 ). In fact, “the suppression of a triggered action might be seen not as an active process, but rather as an automatic consequence of the evaluative procedure” ( Mirabella, 2014 ). One could then say that those who have the ability to better monitor, control and direct their own behavior are “freerer” than those who do not have this capability. Individuals affected by disorders of the executive functions are not able to grasp and process environmental stimuli to direct their behavior. For example, these people may not be able to stop the utilization behavior, an automatic mechanism that tends to make us interact with all the objects that are in our perceptual sphere.
Churchland (2006) and Suhler and Churchland (2009) proposed a hypothesis concerning the neural basis for control, which can bridge the gap between higher-order concepts and brain mechanisms. As she wrote,
Perhaps we can identify various parameters of the normal profile of being in control, which would include specific connectivity patterns between amygdala, orbitofrontal cortex, and insula, between anterior cingulate gyrus and prefrontal cortex, and so forth. Other parameters would identify, for each of the six non specific systems [identified via the neurotransmitter secreted at the axon terminals: serotonin, dopamine, norepinephrine, epinephrine, histamine and acetylcholine], the normal distribution of axon terminals and the normal patterns of neurotransmitter release, uptake, and co-localization with other neurotransmitters such as glutamate. Levels of various hormones would specify another set of parameters. Yet other parameters contrast the immature with adult pattern of synaptic density and axon myelinization. At the current stage of neuroscience, we can identify the normal range for these parameters only roughly, not precisely ( Churchland, 2006 ).
This hypothesis would allow for specific brain correlates of a free will index based on the executive functions-guided self-control and even, hypothetically, a direct brain measure of being in control For example, a recent study ( Bartelle et al., 2016 ) highlights the possibility of having MRI imaging of dopamine release thanks to a engineered protein that binds to the neurotransmitter and works as a MRI-visible probe. As the authors put it, “one could imagine a future in which molecular fMRI is used to determine brain-wide neurochemicals maps corresponding to a universe of stimuli and behavioral programs”. Even though one should always consider that there isn’t perfect correspondence between higher-order concepts and putative neural correlates.
In particular, one must consider that what matters in interpersonal relations and in law, to give two examples of practical relevance of free will, is freedom as actually performed: that is, freedom as it can be observed and with some approximation, also measured through a series of psychological tests. This does not mean that the same level of freedom manifested in behavior matches the same level of activation of the related brain areas. However, one can investigate the brain causes of “freedom deficit” compared with the average shown by relevant samples of the population, and so come to a progressive refinement of the research on the neural bases of free will.
Another example is given by the investigation of the role of the cholinergic interneurons in behavioral flexibility ( Aoki et al., 2015 ). This class of neurons seem to be connected to survive in an ever-changing world, which requires behaving flexibly. Flexibility can be assessed (and measured) at a behavioral level, but cerebral mechanisms remain largely unknown. Using conventional tests on behavioral flexibility, which require animals to shift their attention from one stimulus property (e.g., color) to another (e.g., shape), researchers probed the effects of an immunotoxin-induced lesion of cholinergic interneurons in the striatum.
A selective cholinergic ablation was made by means of injections of immunotoxin, which targeted neurons containing choline acetyltransferase in the dorsomedial or ventral striatum. A control group was instead injected with saline. “When encountering a change of behavioral rules after the set-shift, either lesion made animals stick to a previously correct but now invalid response strategy. They also showed less exploratory behavior toward finding a new rule. Most interestingly, ablation of cholinergic neurons in the dorsomedial striatum impaired a shift of set when it required attention to a previously irrelevant cue. On the other hand, ventral cholinergic lesions had an effect on a shift in which a novel stimulus was introduced as a new directional cue” ( Aoki et al., 2015 ). Animals thus can be taken to be “less free” when striatal cholinergic interneurons don’t work properly.
This last example serves to indicate how to bridge the gap between overt behaviors (to which we tend to attribute the property of freedom) with neuronal mechanisms that are clearly identifiable and even manipulable. In fact, it is not so important to look at the conscious aspect of a single proximal mechanism, but rather to consider the manifest behavioral effect that the considered mechanism helps to produce. This way there would be a paradigm shift with respect to the neuroscience research on free will, which seems to have long been too closely linked to the falsification of the theoretical assumption that an action is free only if it has a beginning that is fully controlled by a conscious process. The proposal, I am making here has only the ambition to be a potentially helpful contribution to theoretical debate and empirical research, although its limits are very clear. First, it focuses on a specific part of what is intuitively called “free will”, relating it to the idea of “capacity”. Second, it proposes to measure free will at a psychological level by means of a unitary index that inevitably misses many nuances of the notion and the relative capacity. Furthermore, the search for the neural correlated of such capacities implies not only the identification of causal mechanisms, but also the consideration of many cerebral areas. All of this makes things harder compared to approaches à la Libet. Nevertheless, there is manifest advantage: there is a greater degree of realism and adherence to the actual behavioral manifestation of what we call “free will”.
Free will is an elusive but crucial concept. For many years we have known that the functioning of our brain has to do not only with the belief that we have free will but also with the existence of free will itself. Evidence of the unconscious start of movement, highlighted by the RP signal, has led to believe that we had reached an experimental proof of the non-existence of free will—which many already claimed at a theoretical level based on the argument of the incompatibility between determinism and freedom. Along with other evidence provided by experimental psychology, the branch of studies inaugurated by Libet has contributed to seeing free will as an illusion: this view seemed to be reliably supported by science, and in particular by neuroscience. Recent studies, however, seem to question this paradigm, which sees the initiation and conscious control of the action as the first requirement of free will, allegedly proving that there are no such things.
The stochastic models and the models of evidence accumulation consider decision as the crossing of a threshold of activity in specific brain regions. They do not restore the idea of conscious control but turn away from the previous paradigm. These studies cannot yet fully explain how the intention to perform an action arises in the brain, but they better account for the complexity of the process. In particular, they recognize the role of the spontaneous activity of the brain, of external cues and other factors—including those that might be called “will” and “reasons” (which, however, do not currently have precisely identified neural correlates)—in reaching the critical threshold. Studies that show how we can consciously block movements whose preparation has already begun unconsciously, then, indicate how the subject is able to exercise a form of control, whose genesis however is still unclear.
One could state that free “decision-making draws upon a rich history of accumulated information, manifested in preferences, attitudes and motivations, and is related to the current internal and external environment in which we act. Complete absence of context is impossible” ( Bode et al., 2014 ). In this framework, I have here proposed to integrate neuroscientific research on free will by connecting higher-level concepts with their neural correlates through a psychological operationalization in terms of skills and cognitive functions that do not necessarily imply a continuous conscious control over the decision-making and action process. This may also allow one to create a quantitative index, albeit still quite rudimentary, of the degree of freedom of each subject. This freedom would be specifically defined and therefore may not perfectly coincide with the intuitive concept of free will. Starting from these functional indicators, which psychology has well clarified, one could then move on to investigate the precise neural correlates for a different and (possibly) more fundamental level of explanation in terms of brain processes that enable the executive functions.
According to Craver (2007) , a mechanistic explanation is able to lead to an inter-field integration. There are two relevant aspects to this approach. The functional knowledge that can be drawn from psychological research is a tool to identify neural mechanisms; the knowledge of the brain structure can guide the construction of far more sophisticated psychological models ( Bechtel and Mundale, 1999 ). The index of free will that I am proposing ( Lavazza and Inglese, 2015 )—despite surely needing further refinement—might be useful to explore the brain mechanisms that underlie what appears in behavior as “free will”, which no longer seems to be an illusion, not even for neuroscientific research.
AL confirms being the sole contributor of this work and approved it for publication.
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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Keywords: readiness potential, unconscious decision, choice prediction, stochastic processes, measurement of freedom, evidence accumulation
Citation: Lavazza A (2016) Free Will and Neuroscience: From Explaining Freedom Away to New Ways of Operationalizing and Measuring It. Front. Hum. Neurosci. 10:262. doi: 10.3389/fnhum.2016.00262
Received: 15 March 2016; Accepted: 18 May 2016; Published: 01 June 2016.
Reviewed by:
Copyright © 2016 Lavazza. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution and reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Andrea Lavazza, [email protected]
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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By Dennis Overbye
I was a free man until they brought the dessert menu around. There was one of those molten chocolate cakes, and I was suddenly being dragged into a vortex, swirling helplessly toward caloric doom, sucked toward the edge of a black (chocolate) hole. Visions of my father’s heart attack danced before my glazed eyes. My wife, Nancy, had a resigned look on her face.
The outcome, endlessly replayed whenever we go out, is never in doubt, though I often cover my tracks by offering to split my dessert with the table. O.K., I can imagine what you’re thinking. There but for the grace of God .
Having just lived through another New Year’s Eve, many of you have just resolved to be better, wiser, stronger and richer in the coming months and years. After all, we’re free humans, not slaves, robots or animals doomed to repeat the same boring mistakes over and over again. As William James wrote in 1890, the whole “sting and excitement” of life comes from “our sense that in it things are really being decided from one moment to another, and that it is not the dull rattling off of a chain that was forged innumerable ages ago.” Get over it, Dr. James. Go get yourself fitted for a new chain-mail vest. A bevy of experiments in recent years suggest that the conscious mind is like a monkey riding a tiger of subconscious decisions and actions in progress, frantically making up stories about being in control.
As a result, physicists, neuroscientists and computer scientists have joined the heirs of Plato and Aristotle in arguing about what free will is, whether we have it, and if not, why we ever thought we did in the first place.
“Is it an illusion? That’s the question,” said Michael Silberstein, a science philosopher at Elizabethtown College in Pennsylvania. Another question, he added, is whether talking about this in public will fan the culture wars.
“If people freak at evolution, etc.,” he wrote in an e-mail message, “how much more will they freak if scientists and philosophers tell them they are nothing more than sophisticated meat machines, and is that conclusion now clearly warranted or is it premature?”
Daniel C. Dennett, a philosopher and cognitive scientist at Tufts University who has written extensively about free will, said that “when we consider whether free will is an illusion or reality, we are looking into an abyss. What seems to confront us is a plunge into nihilism and despair.”
Mark Hallett, a researcher with the National Institute of Neurological Disorders and Stroke, said, “Free will does exist, but it’s a perception, not a power or a driving force. People experience free will. They have the sense they are free.
“The more you scrutinize it, the more you realize you don’t have it,” he said.
That is hardly a new thought. The German philosopher Arthur Schopenhauer said, as Einstein paraphrased it, that “a human can very well do what he wants, but cannot will what he wants.”
Einstein, among others, found that a comforting idea. “This knowledge of the non-freedom of the will protects me from losing my good humor and taking much too seriously myself and my fellow humans as acting and judging individuals,” he said.
How comforted or depressed this makes you might depend on what you mean by free will. The traditional definition is called “libertarian” or “deep” free will. It holds that humans are free moral agents whose actions are not predetermined. This school of thought says in effect that the whole chain of cause and effect in the history of the universe stops dead in its tracks as you ponder the dessert menu.
At that point, anything is possible. Whatever choice you make is unforced and could have been otherwise, but it is not random. You are responsible for any damage to your pocketbook and your arteries.
“That strikes many people as incoherent,” said Dr. Silberstein, who noted that every physical system that has been investigated has turned out to be either deterministic or random. “Both are bad news for free will,” he said. So if human actions can’t be caused and aren’t random, he said, “It must be — what — some weird magical power?”
People who believe already that humans are magic will have no problem with that.
But whatever that power is — call it soul or the spirit — those people have to explain how it could stand independent of the physical universe and yet reach from the immaterial world and meddle in our own, jiggling brain cells that lead us to say the words “molten chocolate.”
A vote in favor of free will comes from some physicists, who say it is a prerequisite for inventing theories and planning experiments.
That is especially true when it comes to quantum mechanics, the strange paradoxical theory that ascribes a microscopic randomness to the foundation of reality. Anton Zeilinger, a quantum physicist at the University of Vienna, said recently that quantum randomness was “not a proof, just a hint, telling us we have free will.”
Is there any evidence beyond our own intuitions and introspections that humans work that way?
Two Tips of the Iceberg
In the 1970s, Benjamin Libet, a physiologist at the University of California, San Francisco, wired up the brains of volunteers to an electroencephalogram and told the volunteers to make random motions, like pressing a button or flicking a finger, while he noted the time on a clock.
Dr. Libet found that brain signals associated with these actions occurred half a second before the subject was conscious of deciding to make them.
The order of brain activities seemed to be perception of motion, and then decision, rather than the other way around.
In short, the conscious brain was only playing catch-up to what the unconscious brain was already doing. The decision to act was an illusion, the monkey making up a story about what the tiger had already done.
Dr. Libet’s results have been reproduced again and again over the years, along with other experiments that suggest that people can be easily fooled when it comes to assuming ownership of their actions. Patients with tics or certain diseases, like chorea, cannot say whether their movements are voluntary or involuntary, Dr. Hallett said.
In some experiments, subjects have been tricked into believing they are responding to stimuli they couldn’t have seen in time to respond to, or into taking credit or blame for things they couldn’t have done. Take, for example, the “voodoo experiment” by Dan Wegner, a psychologist at Harvard, and Emily Pronin of Princeton. In the experiment, two people are invited to play witch doctor.
One person, the subject, puts a curse on the other by sticking pins into a doll. The second person, however, is in on the experiment, and by prior arrangement with the doctors, acts either obnoxious, so that the pin-sticker dislikes him, or nice.
After a while, the ostensible victim complains of a headache. In cases in which he or she was unlikable, the subject tended to claim responsibility for causing the headache, an example of the “magical thinking” that makes baseball fans put on their rally caps.
“We made it happen in a lab,” Dr. Wegner said.
Is a similar sort of magical thinking responsible for the experience of free will?
“We see two tips of the iceberg, the thought and the action,” Dr. Wegner said, “and we draw a connection.”
But most of the action is going on beneath the surface. Indeed, the conscious mind is often a drag on many activities. Too much thinking can give a golfer the yips. Drivers perform better on automatic pilot. Fiction writers report writing in a kind of trance in which they simply take dictation from the voices and characters in their head, a grace that is, alas, rarely if ever granted nonfiction writers.
Naturally, almost everyone has a slant on such experiments and whether or not the word “illusion” should be used in describing free will. Dr. Libet said his results left room for a limited version of free will in the form of a veto power over what we sense ourselves doing. In effect, the unconscious brain proposes and the mind disposes.
In a 1999 essay, he wrote that although this might not seem like much, it was enough to satisfy ethical standards. “Most of the Ten Commandments are ‘do not’ orders,” he wrote.
But that might seem a pinched and diminished form of free will.
Good Intentions
Dr. Dennett, the Tufts professor, is one of many who have tried to redefine free will in a way that involves no escape from the materialist world while still offering enough autonomy for moral responsibility, which seems to be what everyone cares about.
The belief that the traditional intuitive notion of a free will divorced from causality is inflated, metaphysical nonsense, Dr. Dennett says reflecting an outdated dualistic view of the world.
Rather, Dr. Dennett argues, it is precisely our immersion in causality and the material world that frees us. Evolution, history and culture, he explains, have endowed us with feedback systems that give us the unique ability to reflect and think things over and to imagine the future. Free will and determinism can co-exist.
“All the varieties of free will worth having, we have,” Dr. Dennett said.
“We have the power to veto our urges and then to veto our vetoes,” he said. “We have the power of imagination, to see and imagine futures.”
In this regard, causality is not our enemy but our friend, giving us the ability to look ahead and plan. “That’s what makes us moral agents,” Dr. Dennett said. “You don’t need a miracle to have responsibility.”
Other philosophers disagree on the degree and nature of such “freedom.” Their arguments partly turn on the extent to which collections of things, whether electrons or people, can transcend their origins and produce novel phenomena.
These so-called emergent phenomena, like brains and stock markets, or the idea of democracy, grow naturally in accordance with the laws of physics, so the story goes. But once they are here, they play by new rules, and can even act on their constituents, as when an artist envisions a teapot and then sculpts it — a concept sometimes known as “downward causation.” A knowledge of quarks is no help in predicting hurricanes — it’s physics all the way down. But does the same apply to the stock market or to the brain? Are the rules elusive just because we can’t solve the equations or because something fundamentally new happens when we increase numbers and levels of complexity?
Opinions vary about whether it will ultimately prove to be physics all the way down, total independence from physics, or some shade in between, and thus how free we are. Dr. Silberstein, the Elizabethtown College professor, said, “There’s nothing in fundamental physics by itself that tells us we can’t have such emergent properties when we get to different levels of complexities.”
He waxed poetically as he imagined how the universe would evolve, with more and more complicated forms emerging from primordial quantum muck as from an elaborate computer game, in accordance with a few simple rules: “If you understand, you ought to be awestruck, you ought to be bowled over.”
George R. F. Ellis, a cosmologist at the University of Cape Town, said that freedom could emerge from this framework as well. “A nuclear bomb, for example, proceeds to detonate according to the laws of nuclear physics,” he explained in an e-mail message. “Whether it does indeed detonate is determined by political and ethical considerations, which are of a completely different order.”
I have to admit that I find these kind of ideas inspiring, if not liberating. But I worry that I am being sold a sort of psychic perpetual motion machine. Free wills, ideas, phenomena created by physics but not accountable to it. Do they offer a release from the chains of determinism or just a prescription for a very intricate weave of the links?And so I sought clarity from mathematicians and computer scientists. According to deep mathematical principles, they say, even machines can become too complicated to predict their own behavior and would labor under the delusion of free will.
If by free will we mean the ability to choose, even a simple laptop computer has some kind of free will, said Seth Lloyd, an expert on quantum computing and professor of mechanical engineering at the Massachusetts Institute of Technology.
Every time you click on an icon, he explained, the computer’s operating system decides how to allocate memory space, based on some deterministic instructions. But, Dr. Lloyd said, “If I ask how long will it take to boot up five minutes from now, the operating system will say ‘I don’t know, wait and see, and I’ll make decisions and let you know.’ ”
Why can’t computers say what they’re going to do? In 1930, the Austrian philosopher Kurt Gödel proved that in any formal system of logic, which includes mathematics and a kind of idealized computer called a Turing machine, there are statements that cannot be proven either true or false. Among them are self-referential statements like the famous paradox stated by the Cretan philosopher Epimenides, who said that all Cretans are liars: if he is telling the truth, then, as a Cretan, he is lying.
One implication is that no system can contain a complete representation of itself, or as Janna Levin, a cosmologist at Barnard College of Columbia University and author of the 2006 novel about Gödel, “A Madman Dreams of Turing Machines,” said: “Gödel says you can’t program intelligence as complex as yourself. But you can let it evolve. A complex machine would still suffer from the illusion of free will.”
Another implication is there is no algorithm, or recipe for computation, to determine when or if any given computer program will finish some calculation. The only way to find out is to set it computing and see what happens. Any way to find out would be tantamount to doing the calculation itself.
“There are no shortcuts in computation,” Dr. Lloyd said.
That means that the more reasonably you try to act, the more unpredictable you are, at least to yourself, Dr. Lloyd said. Even if your wife knows you will order the chile rellenos, you have to live your life to find out.
To him that sounds like free will of a sort, for machines as well as for us. Our actions are determined, but so what? We still don’t know what they will be until the waiter brings the tray.
That works for me, because I am comfortable with so-called physicalist reasoning, and I’m always happy to leverage concepts of higher mathematics to cut through philosophical knots.
The Magician’s Spell
So what about Hitler?
The death of free will, or its exposure as a convenient illusion, some worry, could wreak havoc on our sense of moral and legal responsibility. According to those who believe that free will and determinism are incompatible, Dr. Silberstein said in an e-mail message, it would mean that “people are no more responsible for their actions than asteroids or planets.” Anything would go.
Dr. Wegner of Harvard said: “We worry that explaining evil condones it. We have to maintain our outrage at Hitler. But wouldn’t it be nice to have a theory of evil in advance that could keep him from coming to power?”
He added, “A system a bit more focused on helping people change rather than paying them back for what they’ve done might be a good thing.”
Dr. Wegner said he thought that exposing free will as an illusion would have little effect on people’s lives or on their feelings of self-worth. Most of them would remain in denial.
“It’s an illusion, but it’s a very persistent illusion; it keeps coming back,” he said, comparing it to a magician’s trick that has been seen again and again. “Even though you know it’s a trick, you get fooled every time. The feelings just don’t go away.”
In an essay about free will in 1999, Dr. Libet wound up quoting the writer Isaac Bashevis Singer, who once said in an interview with the Paris Review, “The greatest gift which humanity has received is free choice. It is true that we are limited in our use of free choice. But the little free choice we have is such a great gift and is potentially worth so much that for this itself, life is worthwhile living.”
I could skip the chocolate cake, I really could, but why bother? Waiter!
An article in Science Times on Tuesday about the debate over free will misstated the location of Elizabethtown College, where Michael Silberstein, who commented on free will and popular culture, is a science philosopher. It is in Pennsylvania, not Maryland.
How we handle corrections
It seems like we have free will. Most of the time, we are the ones who choose what we eat, how we tie our shoelaces and what articles we read on The Conversation.
However, the latest book by Stanford neurobiologist Robert Sapolsky, Determined: A Science of Life Without Free Will, has been receiving a lot of media attention for arguing science shows this is an illusion .
Sapolsky summarizes the latest scientific research relevant to determinism: the idea that we're causally "determined" to act as we do because of our histories – and couldn't possibly act any other way.
According to determinism, just as a rock that is dropped is determined to fall due to gravity, your neurons are determined to fire a certain way as a direct result of your environment, upbringing, hormones, genes, culture and myriad other factors outside your control. And this is true regardless of how "free" your choices seem to you.
Sapolsky also says that because our behaviour is determined in this way, nobody is morally responsible for what they do. He believes while we can lock up murderers to keep others safe, they technically don't deserve to be punished.
This is quite a radical position. It's worth asking why only 11% of philosophers agree with Sapolsky, compared with the 60% who think being causally determined is compatible with having free will and being morally responsible.
Have these " compatibilists " failed to understand the science? Or has Sapolsky failed to understand free will?
"Free will" and "responsibility" can mean a variety of different things depending on how you approach them.
Many people think of free will as having the ability to choose between alternatives. Determinism might seem to threaten this, because if we are causally determined then we lack any real choice between alternatives; we only ever make the choice we were always going to make.
But there are counterexamples to this way of thinking. For instance, suppose when you started reading this article someone secretly locked your door for 10 seconds, preventing you from leaving the room during that time. You, however, had no desire to leave anyway because you wanted to keep reading – so you stayed where you are. Was your choice free?
Many would argue even though you lacked the option to leave the room, this didn't make your choice to stay unfree. Therefore, lacking alternatives isn't what decides whether you lack free will. What matters instead is how the decision came about.
The trouble with Sapolsky's arguments, as free will expert John Martin Fischer explains , is he doesn't actually present any argument for why his conception of free will is correct.
He simply defines free will as being incompatible with determinism, assumes this absolves people of moral responsibility, and spends much of the book describing the many ways our behaviours are determined. His arguments can all be traced back to his definition of "free will".
Compatibilists believe humans are agents. We live lives with "meaning", have an understanding of right and wrong, and act for moral reasons. This is enough to suggest most of us, most of the time, have a certain type of freedom and are responsible for our actions (and deserving of blame) – even if our behaviours are "determined".
Compatibilists would point out that being constrained by determinism isn't the same as being constrained to a chair by a rope. Failing to save a drowning child because you were tied up is not the same as failing to save a drowning child because you were "determined" not to care about them. The former is an excuse. The latter is cause for condemnation.
Some readers sympathetic to Sapolsky might feel unconvinced. They might say your decision to stay in the room, or ignore the child, was still caused by influences in your history that you didn't control – and therefore you weren't truly free to choose.
However, this doesn't prove that having alternatives or being "undetermined" is the only way we can count as having free will. Instead, it assumes they are. From the compatibilists' point of view, this is cheating.
Compatibilists and incompatibilists both agree that, given determinism is true, there is a sense in which you lack alternatives and could not do otherwise.
However, incompatibilists will say you therefore lack free will, whereas compatibilists will say you still possess free will because that sense of "lacking alternatives" isn't what undermines free will – and free will is something else entirely.
They say as long as your actions came from you in a relevant way (even if "you" were "determined" by other things), you count as having free will. When you're tied up by a rope, the decision to not save the drowning child doesn't come from you. But when you just don't care about the child, it does.
By another analogy, if a tree falls in a forest and nobody is around, one person may say no auditory senses are present, so this is incompatible with sound existing. But another person may say even though no auditory senses are present, this is still compatible with sound existing because "sound" isn't about auditory perception – it's about vibrating atoms.
Both agree nothing is heard, but disagree on what factors are relevant to determining the existence of "sound" in the first place. Sapolsky needs to show why his assumptions about what counts as free will are the ones relevant to moral responsibility. As philosopher Daniel Dennett once put it, we need to ask which " varieties of free will [are] worth wanting ".
The point of this back and forth isn't to show compatibilists are right. It is to highlight there's a nuanced debate to engage with. Free will is a thorny issue. Showing nobody is responsible for what they do requires understanding and engaging with all the positions on offer. Sapolsky doesn't do this.
Sapolsky's broader mistake seems to be assuming his questions are purely scientific: answered by looking just at what the science says. While science is relevant, we first need some idea of what free will is (which is a metaphysical question ) and how it relates to moral responsibility (a normative question ). This is something philosophers have been interrogating for a very long time .
Adam Piovarchy , Research Associate, Institute for Ethics and Society, University of Notre Dame Australia
This article is republished from The Conversation under a Creative Commons license. Read the original article .
Reviewed by Psychology Today Staff
Free will is the idea that humans have the ability to make their own choices and determine their own fates. Is a person’s will free, or are people's lives in fact shaped by powers outside of their control? The question of free will has long challenged philosophers and religious thinkers, and scientists have examined the problem from psychological and neuroscientific perspectives as well.
Scientists have investigated the concept of human agency at the level of neural circuitry, and some findings have been taken as evidence that conscious decisions are not truly “free.” Free will skeptics argue that the subjective sense of free will is an illusion. Yet many scholars, as well as ordinary people, still profess a belief in free will, even if they acknowledge that choices are partly shaped by forces outside of one's control.
Behavioral science has made plain that individuals’ behavioral tendencies are influenced by genetics , as well as by factors in the environment that may be outside of a person’s control. This suggests that there are, at least, some constraints on the range of decisions and behaviors a person will be inclined to make (or even to consider) in any given situation. Challengers of the idea that people act the way they do due to conscious, unconstrained choices also point to evidence that unconscious brain activity can partly predict a choice before a conscious decision is made. And some have sought to logically refute the argument that choices necessarily demonstrate free will.
While there are many reasons to believe that a person’s will is not completely free of influence, there is not a scientific consensus against free will. Some use the term “free will” in a looser sense to reflect that conscious decisions play a role in the outcomes of a person’s life—even if those are shaped by innate dispositions or randomness. (Critics of the concept of free will might simply call this kind of decision-making “will,” or volition.) Even when unconscious processes help determine a person’s conscious behavior, some argue, such processes can still be thought of as part of an individual’s will.
Determinism is the idea that every event, including every human action, is the result of previous events and the laws of nature. A belief in determinism that includes a rejection of free will has been called “hard determinism.”
From a deterministic perspective, there is only one possible way that future events can unfold based on what has already occurred and the rules that govern the universe—though that doesn’t mean such events can necessarily be predicted by humans. Someone who believes in free will because they do not take determinism for granted is called, in philosophy , a “libertarian.”
Yes. This is called “compatibilism” or “soft determinism.” A compatibilist believes that even though events are predetermined, there is still some version of free will at work in decision-making . An incompatibilist argues that only determinism or free will can be true.
Whether free will exists or not, belief in free will is very real. Does it matter if a person believes that her choices are completely her own, and that other people’s choices are freely made, too? Psychologists have explored the connections between free will beliefs—often gauged by agreement with statements like “I am in charge of my actions even when my life’s circumstances are difficult” and, simply, “I have free will”—and people’s attitudes about decision-making, blame, and other variables of consequence.
The more people agree with claims of free will , some research suggests, the more they tend to favor internal rather than external explanations for someone else’s behavior. This may include, for example, learning of someone’s immoral deed and agreeing more strongly that it was a result of the person’s character and less that factors like social norms are to blame. (A study of whether reducing free-will beliefs influenced sentencing decisions by actual judges, however, did not show any effect. )
One idea proposed in philosophy is that systems of morality would collapse without a common belief that each person is responsible for his actions—and thus deserves reward or punishment for them. In this view, there is value in maintaining belief in free will, even if free will is in fact an illusion. Others argue that morality can exist in the absence of free-will belief, or that belief in free will actually promotes harmful outcomes such as intolerance and revenge-seeking. Some psychology research has been cited as suggesting that disbelief in free will increases dishonest behavior, but subsequent experiments have called this finding into question.
Mental illness can be thought of, in a sense, as involving additional constraints on the freedom of a person’s will (in the form of rigid thought patterns or compulsions, for instance), beyond the usual factors that shape thinking and behavior. Belief in free will, it has been argued, may contribute to the stigma attached to mental illness by obscuring the role of underlying biological and environmental causes.
There is limited evidence that people who believe more strongly in free will may tend to perceive at least some kinds of choices—such as buying electronics or deciding what to watch on TV—as easier to make, and that they may enjoy making choices more.
Two concepts from psychology that bear similarity to belief in free will are “ locus of control ” and “ self-efficacy .” Locus of control refers to a person’s belief about how much power he has over his life—how important factors like intentions and hard work seem to be compared to external forces such as good luck or the actions of others. Self-efficacy is a person’s sense of her ability to perform at a certain level so as to influence events that affect them. While all of these concepts relate to the factors that steer a person’s life, they are distinct—one can doubt that humans have free will, for example, and still be confident in her ability to win a competition .
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free will , in philosophy and science , the supposed power or capacity of humans to make decisions or perform actions independently of any prior event or state of the universe. Arguments for free will have been based on the subjective experience of freedom, on sentiments of guilt, on revealed religion , and on the common assumption of individual moral responsibility that underlies the concepts of law, reward, punishment, and incentive. In theology , the existence of free will must be reconciled with God’s omniscience and benevolence and with divine grace , which allegedly is necessary for any meritorious act. A prominent feature of existentialism is the concept of a radical, perpetual, and frequently agonizing freedom of choice . Jean-Paul Sartre (1905–80), for example, spoke of the individual “condemned to be free.”
The existence of free will is denied by some proponents of determinism , the thesis that every event in the universe is causally inevitable. Determinism entails that, in a situation in which people make a certain decision or perform a certain action, it is impossible that they could have made any other decision or performed any other action. In other words, it is never true that people could have decided or acted otherwise than they actually did. Philosophers and scientists who believe that determinism in this sense is incompatible with free will are known as “hard” determinists.
In contrast, so-called “soft” determinists, also called compatibilists, believe that determinism and free will are compatible after all. In most cases, soft determinists attempt to achieve this reconciliation by subtly revising or weakening the commonsense notion of free will. Contemporary soft determinists have included the English philosopher G.E. Moore (1873–1958), who held that acting freely means only that one would have acted otherwise had one decided to do so (even if, in fact, one could not have decided to do so), and the American philosopher Harry Frankfurt (born 1929), who has argued that acting freely amounts to identifying with or approving of one’s own desires (even if those desires are such that one cannot help but act on them).
The extreme alternative to determinism is indeterminism , the view that at least some events have no deterministic cause but occur randomly, or by chance. Indeterminism is supported to some extent by research in quantum mechanics , which suggests that some events at the quantum level are in principle unpredictable (and therefore random). Philosophers and scientists who believe that the universe is indeterministic and that humans possess free will are known as “libertarians” (libertarianism in this sense is not to be confused with the school of political philosophy called libertarianism ). Although it is possible to hold that the universe is indeterministic and that human actions are nevertheless determined, few contemporary philosophers defend this view.
Libertarianism is vulnerable to what is called the “intelligibility” objection, which points out that people can have no more control over a purely random action than they have over an action that is deterministically inevitable; in neither case does free will enter the picture. Hence, if human actions are indeterministic, free will does not exist. See also free will and moral responsibility .
Before epilepsy was understood to be a neurological condition, people believed it was caused by the moon, or by phlegm in the brain. They condemned seizures as evidence of witchcraft or demonic possession, and killed or castrated sufferers to prevent them from passing tainted blood to a new generation.
Today we know epilepsy is a disease. By and large, it’s accepted that a person who causes a fatal traffic accident while in the grip of a seizure should not be charged with murder.
That’s good, says Stanford University neurobiologist Robert Sapolsky . That’s progress. But there’s still a long way to go.
After more than 40 years studying humans and other primates, Sapolsky has reached the conclusion that virtually all human behavior is as far beyond our conscious control as the convulsions of a seizure, the division of cells or the beating of our hearts.
This means accepting that a man who shoots into a crowd has no more control over his fate than the victims who happen to be in the wrong place at the wrong time. It means treating drunk drivers who barrel into pedestrians just like drivers who suffer a sudden heart attack and veer out of their lane.
“The world is really screwed up and made much, much more unfair by the fact that we reward people and punish people for things they have no control over,” Sapolsky said. “We’ve got no free will. Stop attributing stuff to us that isn’t there.”
We’ve got no free will. Stop attributing stuff to us that isn’t there.
— Stanford neurobiologist Robert Sapolsky
Sapolsky, a MacArthur “genius” grant winner , is extremely aware that this is an out-there position. Most neuroscientists believe humans have at least some degree of free will. So do most philosophers and the vast majority of the general population. Free will is essential to how we see ourselves, fueling the satisfaction of achievement or the shame of failing to do the right thing.
Saying that people have no free will is a great way to start an argument. This is partly why Sapolsky, who describes himself as “majorly averse to interpersonal conflict,” put off writing his new book “Determined: A Science of Life Without Free Will.”
Sapolsky, 66, has a mild demeanor and a Jerry Garcia beard. For more than three decades, he escaped the politics of academia to study baboons in rural Kenya for a few months every year.
“I’m really, really, really trying not to sound like a combative jerk in the book,” he said. “I deal with human complexities by going and living in a tent. So yeah, I’m not up for a lot of brawls about this.”
Analyzing human behavior through the lens of any single discipline leaves room for the possibility that people choose their actions, he says. But after a long cross-disciplinary career, he feels it’s intellectually dishonest to write anything other than what he sees as the unavoidable conclusion: Free will is a myth, and the sooner we accept that, the more just our society will be.
“Determined,” which comes out today, builds on Sapolsky’s 2017 bestseller “Behave: The Biology of Humans at Our Best and Worst,” which won the Los Angeles Times Book Prize and a slew of other accolades.
The book breaks down the neurochemical influences that contribute to human behaviors, analyzing the milliseconds to centuries preceding, say, the pulling of a trigger or the suggestive touch on an arm.
“Determined” goes a step further. If it’s impossible for any single neuron or any single brain to act without influence from factors beyond its control, Sapolsky argues, there can be no logical room for free will.
Many people with even a passing familiarity with human biology can comfortably agree with this — up to a point.
We know we make worse decisions when hungry , stressed or scared . We know our physical makeup is influenced by the genes inherited from distant ancestors and by our mothers’ health during her pregnancy. Abundant evidence indicates that people who grew up in homes marked by chaos and deprivation will perceive the world differently and make different choices than people raised in safe, stable, resource-rich environments. A lot of important things are beyond our control.
But, like — everything? We have no meaningful command over our choice of careers, romantic partners or weekend plans? If you reach out right now and pick up a pen, was even that insignificant action somehow preordained?
Yes, Sapolsky says, both in the book and to the countless students who have asked the same question during his office hours. What the student experiences as a decision to grab the pen is preceded by a jumble of competing impulses beyond his or her conscious control. Maybe their pique is heightened because they skipped lunch; maybe they’re subconsciously triggered by the professor’s resemblance to an irritating relative.
Then look at the forces that brought them to the professor’s office, feeling empowered to challenge a point. They’re more likely to have had parents who themselves were college educated, more likely to hail from an individualistic culture rather than a collective one. All of those influences subtly nudge behavior in predictable ways.
You may have had the uncanny experience of talking about an upcoming camping trip with a friend, only to find yourself served with ads for tents on social media later. Your phone didn’t record your conversation, even if that’s what it feels like. It’s just that the collective record of your likes, clicks, searches and shares paints such a detailed picture of your preferences and decision-making patterns that algorithms can predict — often with unsettling accuracy — what you are going to do.
Something similar happens when you reach for that pen, Sapolsky says. So many factors beyond your conscious awareness brought you to that pen that it’s hard to say how much you “chose” to pick it up at all.
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Sapolsky was raised in an Orthodox Jewish household in Brooklyn, the son of immigrants from the former Soviet Union.
Biology called to him early — by grade school he was writing fan letters to primatologists and lingering in front of the taxidermied gorillas at the American Museum of Natural History — but religion shaped life at home.
That all changed on a single night in his early teens, he says. While grappling with questions of faith and identity, he was struck by an epiphany that kept him awake until dawn and reshaped his future: God is not real, there is no free will, and we primates are pretty much on our own.
“That was kind of a big day,” he said with a chuckle, “and it’s been tumultuous since then.”
Skeptics could seize on this to rebut his arguments: If we aren’t free to choose our actions or beliefs, how does a boy from a deeply religious conservative home become a self-professed liberal atheist?
Change is always possible, he argues, but it comes from external stimuli. Sea slugs can learn to reflexively retreat from an electrical shock. Through the same biochemical pathways, humans are changed by exposure to external events in ways we rarely see coming.
Imagine, he offers, a group of friends that goes to see a biopic about an inspiring activist. One applies the next day to join the Peace Corps. One is struck by the beautiful cinematography and signs up for a filmmaking course. The rest are annoyed they didn’t see a Marvel film.
All of the friends were primed to respond as they did when they sat down to watch. Maybe one had heightened adrenaline from a close call with another car on the drive over; maybe another was in a new relationship and awash in oxytocin, the so-called love hormone. They had different levels of dopamine and serotonin in their brains, different cultural backgrounds, different sensitivities to sensory distractions in the theater. None chose how the stimulus of the film would affect them anymore than the sea slug “decided” to wince in response to a jolt.
For fellow adherents of determinism — the belief that it’s impossible for a person in any situation to have acted differently than they did — Sapolsky’s scientific defense of the cause is welcome.
“Who we are and what we do is ultimately the result of factors beyond our control and because of this we are never morally responsible for our actions in the sense that would make us truly deserving of praise and blame, punishment and reward,” said Gregg Caruso , a philosopher at SUNY Corning who read early drafts of the book. “I am in agreement with Sapolsky that life without belief in free will is not only possible but preferable.”
Caruso is co-director of the Justice Without Retribution Network , which advocates for an approach to criminal activity that prioritizes preventing future harm rather than assigning blame. Focusing on the causes of violent or antisocial behavior instead of fulfilling a desire for punishment, he said, “will allow us to adopt more humane and effective practices and policies.”
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Theirs is very much a minority viewpoint.
Sapolsky is “a wonderful explainer of complex phenomena,” said Peter U. Tse , a Dartmouth neuroscientist and author of the 2013 book “The Neural Basis of Free Will.” “However, a person can be both brilliant and utterly wrong.”
Neural activity is highly variable, Tse said, with identical inputs often resulting in non-identical responses in individuals and populations. It’s more accurate to think of those inputs as imposing parameters rather than determining specific outcomes. Even if the range of potential outcomes is limited, there’s simply too much variability at play to think of our behavior as predetermined.
What’s more, he said, it’s harmful to do so.
“Those who push the idea that we are nothing but deterministic biochemical puppets are responsible for enhancing psychological suffering and hopelessness in this world,” Tse said.
Even those who believe biology limits our choices are wary of how openly we should embrace that.
Saul Smilansky , a philosopher at the University of Haifa in Israel and author of the book “Free Will and Illusion,” rejects the idea that we can will ourselves to transcend all genetic and environmental constraints. But if we want to live in a just society, we have to believe that we can.
“Losing all belief in free will and moral responsibility would likely be catastrophic,” he said, and encouraging people to do so is “dangerous, even irresponsible.”
A widely cited 2008 study found that people who read passages dismissing the idea of free will were more likely to cheat on a subsequent test. Other studies have found that people who feel less control over their actions care less about making mistakes in their work, and that disbelief in free will leads to more aggression and less helpfulness.
Sapolsky discusses such concerns in his book, ultimately concluding that the effects seen in such experiments are too small and their lack of reproducibility too great to support the idea that civilization will crumble if we think we can’t control our fates.
The more compelling critique, he says, is eloquently articulated in the short story “What’s Expected of Us,” by speculative fiction writer Ted Chiang . The narrator describes a new technology that convinces users their choices are predetermined, a discovery that saps them of their will to live.
“It’s essential that you behave as if your decisions matter,” the narrator warns, “even though you know that they don’t.”
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The greatest risk of abandoning free will, Sapolsky concedes, isn’t that we’ll want to do bad things. It’s that, without a sense of personal agency, we won’t want to do anything.
“It may be dangerous to tell people that they don’t have free will,” Sapolsky said. “The vast majority of the time, I really think it’s a hell of a lot more humane.”
Sapolsky knows he won’t persuade most of his readers. It’s hard to convince people who have been harmed that perpetrators deserve less blame because of their history of poverty. It’s even harder to convince the well-off that their accomplishments deserve less praise because of their history of privilege.
“If you have time to be bummed out by that, you’re one of the lucky ones,” he said.
His true hope, he says, is to increase compassion. Maybe if people understand how thoroughly an early history of trauma can rewire a brain, they’ll stop lusting for harsh punishments. Maybe if someone realizes they have a brain condition like depression or ADHD, they’ll stop hating themselves for struggling with tasks that seem easier for others.
Just as previous generations thought seizures were brought on by witchcraft, some of our current beliefs about personal responsibility may eventually be undone by scientific discovery.
We are machines, Sapolsky argues, exceptional in our ability to perceive our own experiences and feel emotions about them. It is pointless to hate a machine for its failures.
There is only one last thread he can’t resolve.
“It is logically indefensible, ludicrous, meaningless to believe that something ‘good’ can happen to a machine,” he writes. “Nonetheless, I am certain that it is good if people feel less pain and more happiness.”
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Corinne Purtill is a science and medicine reporter for the Los Angeles Times. Her writing on science and human behavior has appeared in the New Yorker, the New York Times, Time Magazine, the BBC, Quartz and elsewhere. Before joining The Times, she worked as the senior London correspondent for GlobalPost (now PRI) and as a reporter and assignment editor at the Cambodia Daily in Phnom Penh. She is a native of Southern California and a graduate of Stanford University.
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/r/philosophy: the portal for public philosophy
**This is a first draft, the final paper is due monday. It's the first philosophy class I've taken, and I thought you all might have some critique or ideas that could help make it better. **
Does the human being have a free will?
Within the boundaries set by this essay, I am to explain that a free will does not exist. I will provide the basic and most comprehendible reasoning for the non existence of free will, and by extension the non existence of the soul.
Just like in the argument against the existence of a god, a tea pot flying around in space, or a flying spaghetti monster, it is not this essay’s purpose to disprove the existence of anything, but to refute any reason one might have to believe in the existence of a that thing. In this case, it is this essay’s purpose to convince you, the reader, of the non existence of a free will.
First, it must asked where this concept of a free will exists. Why do we as humans seem to believe that we have the ability to freely make choices independent of anything but our own “selves”? To put the question more simply; if free will does not exists, why does it appear to us like it does? The idea of a free will has two parts, the will, which refers to the ability to make conscious choice, and the free, which is a bit harder to define. I’m not here to disagree that we make choices, or that the choices we make are not our own, but those of someone else.
We certainly have a will, we do as humans make choices, we do. Similar to what the Baron Paul Heri D’Holbach said in his article on free will [1], as humans, the decisions we make are computed by our brains; electrical connections in our frontal lobes, made to take into consideration our environments, thoughts, and experiences up until the point of that decision in our lives. This begs the question though; where does free come in? Certainly our brains think, and make decisions, but what exactly about that is freely done? Not one thing about the choices we make is done randomly, every time our brain signals for something to happen, it is based upon predicted results, immediate, or far into the future, that the human thinks will be beneficial toward living or procreation in some way. This will is not free because, like our perception of the mind, it is based upon two things: a human’s genetic make-up, and the environment surrounding the human.
Simply put, the human does make choices, but these choices are nothing more than the simple calculations of the brain; machine built through trial and error conducted by genetic mutations in the form of evolution over a vast number of years. Because these computations are so complex and often use parts of brain which our consciousness is not connected to, and because our consciousness is only a small portion of our brains, our consciousness has a lack of reason for this calculation. Our brains have evolved to generalize that a lack of information is a bad thing. When we don’t understand something, often times our brains pretend that we do by making up information [2]. Our brain is constantly faking information and passing it around, giving our conscious mind a sense of completeness in the understanding of it’s surroundings, when in actuality much of it is just a virtual reality created by our brains; a patchwork of our real perception. Our free will is just another example of this patchwork, a simulation created by the brain, and perceived by our consciousness as reality, just to smooth out the internal processes of the supercomputer that is the brain.
Now that we’ve established that there is no reason to believe a free will exists, and that choice means nothing more than calculation based upon genetic makeup and environment, we consider the implications of the idea that a free will does not exist. If the free will of humans does not exist, than how does the world around us exist? Our environment has to be the result of something, and the act of an original creation must in some way be the result of the free will of something, unless we are to assume that everything has always existed*. That something, the first something which resulted in us, our conscious mind, and everything which we perceive and do not perceive, must at it’s very root have free will, be it random or conscious.
So, in conclusion, while we do not individually as humans have free will, we as humans are in some way the result of free will. While we’re not exactly sure what it is that does have free will, this free will in some way must exist in all it’s complete and chaotic randomness, and we as humans are a reflection of that. Our existence could be considered free will, or it could be considered a reflection of free will, and therefore whether the human has free will is all a question of semantics. Semantics aside, the human being is however, a result of free will.
*This, so far as I’m concerned is a viable secondary viewpoint.
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Experiences of children in the period of industrial revolution, lives of free blacks in early nyc, mabbott’s theory of punishment, cultural influence on visual perception, social media effects on college students, how languages affect how we see the world, popular essay topics.
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, 27 August 2024. |
Human actions are determined.
Figures like Sam Harris and most recently Robert Sapolsky argue free will is an illusion. Yet most attempt to save the idea that we are morally responsible for our actions, in spite of this lack of free will to choose those actions or the freedom to have acted differently. Lawrence Harvey, grappling with the thought of Paul Rée, a thinker celebrated by the philosopher Friedrich Nietzsche, writes that if we are to believe free will is an illusion, the idea of responsibility must be thrown away with it.
Sam Harris will be appearing via Zoom, alongside over a hundred other leading thinkers and guests appearing in person such as Roger Penrose, Sabine Hossenfelder, Sadiq Khan and more, at the HowTheLightGetsIn festival this September. Talks, debates, music, and comedy, exploring the topics you find on the IAI. Book your place now.
“Responsibility is a chimera which stalks the conscience of those
who are not bold enough to apply the deterministic laws of nature
to themselves…”
In 1878, Nietzsche wrote a letter to Paul Rée (1849–1901) in which he declared: ‘All my friends are now agreed that my book [ Human, All-Too-Human ] comes from and is written by you: so I congratulate you on this new authorship … Long live Réealism and my good friend!’ Although this friendship was not to last, many commentators agree that Rée had a profound, if temporary, influence on both Nietzsche’s thought and his method of philosophical expression. Arguably, this broad consensus gives weight to the idea that Rée helped to shape the course of modern continental philosophy, albeit from the intellectual sidelines.
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For centuries, philosophers and theologians have almost unanimously held that civilization as we know it depends on a widespread belief in free will—and that losing this belief could be ...
So the classical argument against free will is a failure — it doesn't give us any good reason to conclude that we don't have free will. Despite the failure of the classical argument, the enemies of free will are undeterred. They still think there's a powerful argument to be made against free will. In fact, they think there are two such ...
18 October 2023. The episode was not found or is unavailable. Robert Sapolsky is one of the most revered scientists alive today. He made his name from his work studying wild baboons in Kenya ...
Free will isn't a scientific question. The point of this back and forth isn't to show compatibilists are right. It is to highlight there's a nuanced debate to engage with. Free will is a ...
We still do not know conclusively that our choices are determined. Our intuition, however, provides no good reason to think that they are not. If our instinct cannot support the idea of free will ...
The philosophical problem of free will and determinism is the problem of whether or not free will exists in light of determinism. Thus, it is crucial to be clear in defining what we mean by "free will" and "determinism.". As we will see, these turn out to be difficult and contested philosophical questions.
The term "free will" has emerged over the past two millennia as the canonical designator for a significant kind of control over one's actions. Questions concerning the nature and existence of this kind of control (e.g., does it require and do we have the freedom to do otherwise or the power of self-determination?), and what its true significance is (is it necessary for moral ...
Ultimately, they voted 4-2 in favor of the position that free will is merely an illusion. The four scientists on the panel denied the existence of free will, arguing that human behavior is ...
In another essay, I have suggested that we could therefore meaningfully talk about a "Freedom Quotient" or FQ, which would allow us to rate your or my free will, and identify ways in which we ...
Various philosophers suggest that free will is also a requirement for agency, rationality, the autonomy and dignity of persons, creativity, cooperation, and the value of friendship and love [see Anglin (1990), Kane (1998) and Ekstrom (1999)]. We thus see that free will is central to many philosophical issues. 2.
The two concepts - (i) foreknowledge and (ii) human freedom - seem to be utterly incompatible. The challenge, then, (that is, the problem posed by epistemic determinism) is to find a way to show that. either. (1) foreknowledge (of human beings' future actions) does not exist; or. (2) free will does not exist; or.
responsibility; without libertarian free will, we would be the principle "'ought' implies 'can'." The single "motive that would be a motive only for Christians (or at any rate, (supposedly) essential to an effective reply to the argument. address only the motives of libertarians that are. problem of free will."
For decades, a landmark brain study fed speculation about whether we control our own actions. It seems to have made a classic mistake. The death of free will began with thousands of finger taps ...
The sixth and final section examines the relevance of Hume's views on free will for matters of religion. 1. Liberty and Necessity - The Classical Reading. 2. Free Will and Moral Sentiment - The Naturalistic Reading. 3. Hume's Naturalism and Strawson's "Reconciling Project". 4.
As a result, today there are different irreconcilable positions about human free will: determinism is not absolute and free will exists; free will does not exist for a number of reasons, first of all (but not only) determinism; free will can exist even if determinism is true . A little more than 30 years ago, neuroscience and empirical ...
Mark Hallett, a researcher with the National Institute of Neurological Disorders and Stroke, said, "Free will does exist, but it's a perception, not a power or a driving force. ... In an essay ...
It claims that free will does not exist, and God has absolute control over a person's actions. Hard theological determinism is similar in implication to hard determinism, although it does not invalidate compatibilist free will. [31] Hard theological determinism is a form of theological incompatibilism (see figure, top left).
He simply defines free will as being incompatible with determinism, assumes this absolves people of moral responsibility, and spends much of the book describing the many ways our behaviours are determined. His arguments can all be traced back to his definition of "free will". Compatibilists believe humans are agents.
Some use the term "free will" in a looser sense to reflect that conscious decisions play a role in the outcomes of a person's life—even if those are shaped by innate dispositions or ...
determinism. voluntarism. compatibilism. choice. free will, in philosophy and science, the supposed power or capacity of humans to make decisions or perform actions independently of any prior event or state of the universe. Arguments for free will have been based on the subjective experience of freedom, on sentiments of guilt, on revealed ...
Stanford scientist, after decades of study, concludes: We don't have free will. After studying humans and other primates for 40 years, Stanford neurobiologist Robert Sapolsky has concluded that ...
While we're not exactly sure what it is that does have free will, this free will in some way must exist in all it's complete and chaotic randomness, and we as humans are a reflection of that. Our existence could be considered free will, or it could be considered a reflection of free will, and therefore whether the human has free will is all ...
Free Will Does Not Exist. In philosophy, free will refers to the ability of humans to do actions independent of any universe condition or make decisions. As such, it entails the capacity of humans to decide on their actions and determine the outcome. The existence and nature of free will and its importance have arisen in Western philosophy, and ...
Does free will exist? Lawrence Harvey, grappling with the thought of Paul Rée, a thinker celebrated by the philosopher Friedrich Nietzsche, writes that if free will is an illusion, the idea of responsibility must be thrown away with it. ... Rée accounts for the power of this ever-present illusion by suggesting that we do not perceive the ...