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An empirical solution to the puzzle of weakness of will

  • Julia Haas
S.I.: Neuroscience and Its Philosophy
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Abstract

This paper presents an empirical solution to the puzzle of weakness of will. Specifically, it presents a theory of action, grounded in contemporary cognitive neuroscientific accounts of decision making, that explains the phenomenon of weakness of will without resulting in a puzzle.

Keywords

Philosophy of action Reinforcement learning Weakness of will 

Notes

Acknowledgements

I would like to thank Carl Craver, Peter Dayan, John Doris, Ursula Goldenbaum, Bryce Huebner, Colin Klein, Kathryn Lindeman, Robert McCauley, Shaun Nichols, Casey O’Callaghan, Richard Patterson, Elizabeth Schechter, and two anonymous referees for helpful discussions and comments. I’m also grateful to audiences at the 2014 Pacific American Philosophical Association poster session, and at the 2015 Self-prediction in Decision Theory and Artificial Intelligence Conference, for discussions of the material presented in this paper. Special thanks go to Benjamin Henke and Julia Staffel.

References

  1. Ainslie, G. (2001). Breakdown of will. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
  2. Aquinas, T. (1952). The Summa theologica of Saint Thomas Aquinas, Fathers of the English Dominican Province (Trans.). Chicago: Encyclopædia Britannica Press.Google Scholar
  3. Aristotle. (1984). Nicomachean Ethics, Bk. VII, Chs. 1-10. In J. Barnes (Ed.), The complete work of Aristotle (pp. 1808–1821). Princeton: Princeton University Press.Google Scholar
  4. Arpaly, N. (2000). On acting rationally against one’s better judgment. Ethics, 110, 488–513.CrossRefGoogle Scholar
  5. Audi, R. (1979). Weakness of will and practical Judgment. Noûs, 13, 173–196.CrossRefGoogle Scholar
  6. Augustine. (1960). Confessions (John K. Ryan Trans.). New York: Doubleday.Google Scholar
  7. Austin, J. A. (1956/57). A plea for excuses. In Austin (1979) (pp. 175–204).Google Scholar
  8. Badre, D. (2008). Cognitive control, hierarchy, and the rostro-caudal organization of the frontal lobes. Trends in Cognitive Sciences, 12(5), 193–200.CrossRefGoogle Scholar
  9. Balleine, B. W. (2007). Reward and decision making in corticobasal ganglia networks. Boston: Blackwell Publishers.Google Scholar
  10. Balleine, B. W., & Dickinson, A. (1998). Goal-directed instrumental action: contingency and incentive learning and their cortical substrates. Neuropharmacology, 37, 407–419.CrossRefGoogle Scholar
  11. Balleine, B. W., & Dickinson, A. (2000). The effect of lesions of the insular cortex on instrumental conditioning: Evidence for a role in incentive memory. Journal of Neuroscience, 20, 8954–8964.Google Scholar
  12. Barrett, L. F. (2006). Are emotions natural kinds? Perspectives on Psychological Science, 1(1), 28–58.CrossRefGoogle Scholar
  13. Barto, A. G. (1995). Adaptive critics and the basal ganglia. In J. C. Houk, J. Davis, & D. Beiser (Eds.), Models of information processing in the basal ganglia (pp. 215–232). Cambridge, MA: MIT Press.Google Scholar
  14. Baumeister, R. F. (2002). Ego depletion and self-control failure: An energy model of the self’s executive function. Self and Identity, 1, 129–136.CrossRefGoogle Scholar
  15. Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego-depletion: Is the active self a limited resource? Journal of Personality and Social Psychology, 74, 1252–1265.CrossRefGoogle Scholar
  16. Bobonich, C., & Destrée, P. (Eds.). (2007). Akrasia in Greek Philosophy: From Socrates to Plotinus. Leiden: Brill.Google Scholar
  17. Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review, 108(3), 624.CrossRefGoogle Scholar
  18. Botvinick, M., Niv, Y., & Barto, A. C. (2009). Hierarchically organized behavior and its neural foundations: A reinforcement learning perspective. Cognition, 113(3), 262–280.CrossRefGoogle Scholar
  19. Bouton, M. E. (2006). Learning and behavior: A contemporary synthesis. Sunderland, MA: Sinauer.Google Scholar
  20. Bratman, M. (1979). Practical reasoning and weakness of the will. Noûs, 13, 153–171.CrossRefGoogle Scholar
  21. Brown, P. L., & Jenkins, H. M. (1968). Auto-shaping of the pigeon’s key-peck. Journal of the experimental analysis of behavior, 11(1), 1–8.CrossRefGoogle Scholar
  22. Buss, S. (1997). Weakness of will. Pacific Philosophical Quarterly, 78, 13–44.CrossRefGoogle Scholar
  23. Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36(3), 181–204.CrossRefGoogle Scholar
  24. Cohen, J. D., Braver, T. S., & O’Reilly, R. C. (1996). A computational approach to prefrontal cortex, cognitive control and schizophrenia: Recent developments and current challenges. Philosophical Transactions: Biological Sciences, 351, 1515–1527.CrossRefGoogle Scholar
  25. Cisek, P., & Kalaska, J. F. (2010). Neural mechanisms for interacting with a world full of action choices. Annual Review of Neuroscience, 33, 269–298.CrossRefGoogle Scholar
  26. Crockett, M. J. (2013). Models of morality. Trends in cognitive sciences, 17(8), 363–366.CrossRefGoogle Scholar
  27. Davidson, D. (1970). How is weakness of the will possible?. In Davidson (1980) (pp. 21–42).Google Scholar
  28. Davidson, D. (1980). Essays on actions and events. Oxford: Clarendon Press.Google Scholar
  29. Davidson, D. (1982). Paradoxes of irrationality. In Davidson (2004) (pp. 169–187).Google Scholar
  30. Davidson, D. (2004). Problems of rationality. Oxford: Clarendon Press.CrossRefGoogle Scholar
  31. Daw, N. D., Niv, Y., & Dayan, P. (2005). Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control. Nature Neuroscience, 8(12), 1704–1711.CrossRefGoogle Scholar
  32. Daw, N. D., & O’Doherty, J. P. (2013). Multiple systems for value learning. In Neuroeconomics: Decision making, and the brain (pp. 393–410).Google Scholar
  33. Dayan, P. (2011). Interactions Between Model-Free and Model-Based Reinforcement Learning,’ Seminar Series from the Machine Learning Research Group. University of Sheffield, Sheffield. Lecture recording. http://ml.dcs.shef.ac.uk/. Accessed May 2013.
  34. Dayan, P., & Berridge, K. C. (2014). Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelation. Cognitive, Affective, and Behavioral Neuroscience, 14(2), 473–492.CrossRefGoogle Scholar
  35. Dayan, P., & Huys, Q. J. (2008). Serotonin, inhibition, and negative mood. PLoS Computational Biology, 4(2), e4.CrossRefGoogle Scholar
  36. Dayan, P., & Niv, Y. (2008). Reinforcement learning: The good, the bad and the ugly. Current Opinion in Neurobiology, 18(2), 185–196.CrossRefGoogle Scholar
  37. Dayan, P., Niv, Y., Seymour, B., & Daw, N. D. (2006). The misbehavior of value and the discipline of the will. Neural Networks, 19(8), 1153–1160.CrossRefGoogle Scholar
  38. Deneve, S., & Pouget, A. (2004). Bayesian multisensory integration and cross-modal spatial links. Journal of Physiology Paris, 98(1–3), 249–58.CrossRefGoogle Scholar
  39. Dickinson, A. (1985). Actions and habits: The development of a behavioural autonomy. Philosophical Transactions of the Royal Society B: Biological Sciences, 308, 67–78.CrossRefGoogle Scholar
  40. Dickinson, A., & Balleine, B. (2002). The role of learning in motivation. In C. R. Gallistel (Ed.), Learning, motivation and emotion (pp. 497–533). New York: Wiley.Google Scholar
  41. Dunn, R. (1987). The possibility of weakness of will. Indianapolis: Hackett.Google Scholar
  42. Glimcher, P. W. (2010). Foundations of neuroeconomic analysis. Oxford University Press.Google Scholar
  43. Glimcher, P. W., & Fehr, E. (Eds.). (2013). Neuroeconomics: Decision making and the brain. Academic Press.Google Scholar
  44. Hampton, A. N., Bossaerts, P., & O’Doherty, J. P. (2006). The role of the ventromedial prefrontal cortex in abstract state-based inference during decision making in humans. The Journal of Neuroscience, 26(32), 8360–8367.CrossRefGoogle Scholar
  45. Hare, R. M. (1952). The language of morals. Oxford: Clarendon Press.Google Scholar
  46. Hare, R. M. (1963). Freedom and reason. Oxford: Clarendon Press.Google Scholar
  47. Hare, T. A., Camerer, C. F., & Rangel, A. (2009). Self-control in decision-making involves modulation of the vmPFC valuation system. Science, 324(5927), 646–648.CrossRefGoogle Scholar
  48. Heil, J. (1989). Minds divided. Mind, 98(392), 571–583.CrossRefGoogle Scholar
  49. Hershberger, W. A. (1986). An approach through the looking-glass. Animal Learning and Behavior, 14(4), 443–451.CrossRefGoogle Scholar
  50. Hohwy, J. (2013). The predictive mind. Oxford: Oxford University Press.CrossRefGoogle Scholar
  51. Holton, R. (1999). Intention and weakness of will. Journal of Philosophy, 96, 241–262.CrossRefGoogle Scholar
  52. Holton, R. (2009). Willing, wanting, waiting. Oxford: Oxford University Press.CrossRefGoogle Scholar
  53. Huys, Q. J., Cools, R., Gölzer, M., Friedel, E., Heinz, A., Dolan, R. J., et al. (2011). Disentangling the roles of approach, activation and valence in instrumental and pavlovian responding. PLoS Computational Biology, 7(4), e1002028.CrossRefGoogle Scholar
  54. Huys, Q. J., Eshel, N., O’Nions, E., Sheridan, L., Dayan, P., & Roiser, J. P. (2012). Bonsai trees in your head: How the Pavlovian system sculpts goal-directed choices by pruning decision trees. PLoS Computational Biology, 8(3), e1002410.CrossRefGoogle Scholar
  55. Huys, Q. J., Pizzagalli, D. A., Bogdan, R., & Dayan, P. (2013). Mapping anhedonia onto reinforcement learning: A behavioural meta-analysis. Biology of Mood and Anxiety Disorders, 3(1), 1.CrossRefGoogle Scholar
  56. Izquierdo, A., Suda, R. K., & Murray, E. A. (2004). Bilateral orbital prefrontal cortex lesions in rhesus monkeys disrupt choices guided by both reward value and reward contingency. Journal of Neuroscience, 24, 7540–7548.CrossRefGoogle Scholar
  57. Kable, J. W., & Glimcher, P. W. (2009). The neurobiology of decision: Consensus and controversy. Neuron, 63(6), 733–745.CrossRefGoogle Scholar
  58. Kahneman, D. (2011). Thinking fast and slow. New York: Farrar, Straus and Giroux.Google Scholar
  59. Kamin, L. J. (1969). Predictability, surprise, attention, and conditioning. In B. A. Campbell & R. M. Church (Eds.), Punishment and aversive behavior (pp. 279–296). New York: Appleton-Century-Crofts.Google Scholar
  60. Kiani, R., & Shadlen, M. N. (2009). Representation of confidence associated with a decision by neurons in the parietal cortex. Science, 324(5928), 759–764.CrossRefGoogle Scholar
  61. Killcross, S., & Coutureau, E. (2003). Coordination of actions and habits in the medial prefrontal cortex of rats. Cerebral Cortex, 13, 400–408.CrossRefGoogle Scholar
  62. Lee, S. W., Shimojo, S., & O’Doherty, J. P. (2014). Neural computations underlying arbitration between model-based and model-free learning. Neuron, 81(3), 687–699.CrossRefGoogle Scholar
  63. Leibniz, G. W. F. (1965). Nouveaux Essais Sur L’Entendement Humain, (Hans Heinz Holz, Trans. German). Darmstadt: Wissenschaftliche Buchgesellschaft.Google Scholar
  64. Levy, N. (2011). Resisting weakness of the will. Philosophy and Phenomenological Research, 82(1), 134–155.CrossRefGoogle Scholar
  65. Lewis, D. (1972). Psychophysical and Theoretical Identifications. Australasian Journal of Philosophy, 50, 249–258 (reprinted in Rosenthal 1994, pp. 204–10).Google Scholar
  66. Macintosh, N. J. (1983). Conditioning and associative learning. Oxford: Oxford University Press.Google Scholar
  67. Mele, A. (1987). Irrationality. New York, NY: Oxford University Press.Google Scholar
  68. Mele, A. (2010). Weakness of will and akrasia. Philosophical Studies, 150(3), 391–404.CrossRefGoogle Scholar
  69. Mele, A. R. (1992). Springs of action: Understanding intentional behavior. Chicago: Oxford University Press.Google Scholar
  70. Mele, A. R. (2002). Akratics and addicts. American Philosophical Quarterly, 39(2), 153–167.Google Scholar
  71. Merritt, M. W., Doris, J. M., & Harman, G. (2011). Character. In John M. Doris (Ed.), The moral psychology handbook. Oxford: Oxford University Press.Google Scholar
  72. Milgram, S. (1963). Behavioral study of obedience. The Journal of Abnormal and Social Psychology, 67(4), 371.CrossRefGoogle Scholar
  73. Milgram, S. (1974). Obedience to authority: An experimental view. London: Tavistock.Google Scholar
  74. Montague, R. (2006). Why choose this book? How We Make Decisions. New York: Dutton.Google Scholar
  75. Montague, R. (2007). Your brain is (almost) perfect: How we make decisions. Chicago: Penguin.Google Scholar
  76. O’Doherty, J. P. (2014). The problem with value. Neuroscience and Biobehavioral Reviews, 43, 259–268.CrossRefGoogle Scholar
  77. Padoa-Schioppa, C., & Assad, J. A. (2006). Neurons in the orbitofrontal cortex encode economic value. Nature, 441(7090), 223–226.CrossRefGoogle Scholar
  78. Pears, D. (1984). Motivated irrationality. Oxford: Clarendon Press.Google Scholar
  79. Peijnenburg, J. (2000). Akrasia, dispositions and degrees. Erkenntnis, 53(3), 285–308.CrossRefGoogle Scholar
  80. Penner, T. (1997). Socrates on the strength of knowledge: Protagoras 351B–357E. Archiv für Geschichte der Philosophie, 79(2), 117–149.CrossRefGoogle Scholar
  81. Plato, (1997). Protagoras. In J. M. Cooper & D. S. Hutchison (Eds.), Complete works (pp. 746–791). Indianapolis: Hackett.Google Scholar
  82. Rangel, A. (2013). Regulation of dietary choice by the decision-making circuitry. Nature Neuroscience, 16(12), 1717–1724.CrossRefGoogle Scholar
  83. Rangel, A., Camerer, C., & Montague, P. R. (2008). A framework for studying the neurobiology of value-based decision making. Nature Reviews Neuroscience, 9(7), 545–556.CrossRefGoogle Scholar
  84. Redish, D. A. (2013). The mind within the brain. Oxford: Oxford University Press.Google Scholar
  85. Rescorla, R. A. (1988). Pavlovian conditioning: It’s not what you think it is. American Psychologist, 43(3), 151.CrossRefGoogle Scholar
  86. Rescorla, R. A., & Wagner, A. R. (1972). A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. Classical conditioning II: Current research and theory, 2, 64–99.Google Scholar
  87. Rorty, A. (1980). Where does the akratic break take place? Australasian Journal of Philosophy, 58, 333–347.CrossRefGoogle Scholar
  88. Schultz, W., Dayan, P., & Montague, P. R. (1997). A neural substrate of prediction and reward. Science, 275(5306), 1593–1599.CrossRefGoogle Scholar
  89. Sheffield, F. D. (1965). Relation between classical and instrumental conditioning. In W. F. Prokasy (Ed.), Classical conditioning (pp. 302–322). New York, NY: Appleton Century Crofts.Google Scholar
  90. Shields, C. (2007). Unified Agency and Akrasia in Plato’s Republic. In Bobonich and Destree 2007 (pp. 61–86).Google Scholar
  91. Sripada, C. (2010). Philosophical questions about the nature of willpower. Philosophy Compass, 5(9), 793–805.CrossRefGoogle Scholar
  92. Spinoza, B. (2002). Complete Works, (Samuel Shirley, Trans.). Indianapolis: Hackett.Google Scholar
  93. Stich, S., & Nichols, S. (2003). Folk Psycholgy. In S. Stich & T. Warfield (Eds.), The Blackwell Guide to Philosophy of Mind (pp. 235–255). Oxford: Blackwell.CrossRefGoogle Scholar
  94. Stocker, M. (1979). Desiring the bad: An essay in moral psychology. Journal of Philosophy, 76, 738–753.CrossRefGoogle Scholar
  95. Stroud, S. (2003). Weakness of will and practical judgment. In Stroud and Tappolet (2003) (pp. 121–146).Google Scholar
  96. Stroud, S., & Tappolet, C. (Eds.). (2003). Weakness of will and practical irrationality. Oxford: Clarendon Press.Google Scholar
  97. Sutton, R. S., & Barto, A. G. (1998). Introduction to reinforcement learning. Cambridge: MIT Press.Google Scholar
  98. Talmi, D., Seymour, B., Dayan, P., & Dolan, R. J. (2008). Human Pavlovian-instrumental transfer. The Journal of Neuroscience, 28(2), 360–368.CrossRefGoogle Scholar
  99. Tappolet, C. (2003). Emotions and the intelligibility of akratic action, In Stroud and Tappolet (2003) (pp. 97–120).Google Scholar
  100. Tricomi, E., Balleine, B. W., & O’Doherty, J. P. (2009). A specific role for posterior dorsolateral striatum in human habit learning. European Journal of Neuroscience, 29(11), 2225–2232.CrossRefGoogle Scholar
  101. Uithol, S., Burnston, D. C., & Haselager, P. (2014). Why we may not find intentions in the brain. Neuropsychologia, 56, 129–139.CrossRefGoogle Scholar
  102. Uithol, S., van Rooij, I., Bekkering, H., & Haselager, P. (2012). Hierarchies in action and motor control. Journal of Cognitive Neuroscience, 24(5), 1077–1086.CrossRefGoogle Scholar
  103. Valentin, V. V., Dickinson, A., & O’Doherty, J. P. (2007). Determining the neural substrates of goal-directed learning in the human brain. Journal of Human Neuroscience, 27, 4019–4026.CrossRefGoogle Scholar
  104. Walsh, J. J. (1963). Aristotle’s conception of moral weakness. New York: Columbia University Press.Google Scholar
  105. Watson, G. (1977). Skepticism About Weakness of Will. Philosophical Review, 86, 316–339.CrossRefGoogle Scholar
  106. Williams, D. R., & Williams, H. (1969). Auto-maintenance in the pigeon: Sustained pecking despite contingent non-reinforcement. Journal of the Experimental Analysis of Behavior, 12(4), 511–520.CrossRefGoogle Scholar

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Authors and Affiliations

  1. 1.Department of PhilosophyRhodes CollegeMemphisUSA

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