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Rationality and intertemporal choice

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Journal of Bioeconomics Aims and scope

Abstract

The alleged problems associated with self-control, hyperbolic discounting and other examples of seemingly irrational intertemporal choice are examined in the context of an evolution-based neurobiological model that emphasizes the role of the biological evolution of big brains and language and the cultural evolution of institutions. There is no utility function in the brain; it has no central-planner, in fact, the brain is a self-organized complex system, a decentralized spontaneous order. This spontaneous order is coordinated, much like an economy, by a distributed network that maintains and makes available the discounted net value of various options to decentralized and specialized areas in the brain when making decisions. Further, that decision making is embodied and embedded in the decision making environment. For humans, an important part of that environment is the social environment consisting of institutions and other components of culture. It was, in part, the evolution of this environment that made long-range planning possible. Additionally, it is very often the lack of embedded experience with the environment that leads to what seems to be irrational intertemporal choices. In fact, under close examination the evidence for consistent irrational intertemporal choice is weak.

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References

  • Ainslie G. (1986) Beyond microeconomics, conflict among interests in a multiple self as a determinant of value. In: Elster J. (eds) The multiple self. Cambridge University Press, Cambridge, MA, pp 133–175

    Google Scholar 

  • Baars B. J. (2002) The conscious access hypothesis: Origins and recent evidence. Trends in Cognitive Science 6: 47–52

    Google Scholar 

  • Barkley R. A. (1997) ADHD and the nature of self-control. The Guilford Press, New York

    Google Scholar 

  • Behrens T. E. J., Woolrich M. W., Walton M. E., Rushworth M. F. S. (2007) Learning the value of information in an uncertain world. Nature Neuroscience 10: 1214–1221

    Google Scholar 

  • Boysen S., Bernston G. (1995) Responses to quantity: Perceptual versus cognitive mechanisms in chimpanzees (Pan troglodytes). Journal of Experimental Psychology and Animal Behavior Processes 21: 82–86

    Google Scholar 

  • Boysen S., Bernston G., Hannan M., Cacioppo J. (1996) Quantity-based inference and symbolic representation in chimpanzees (Pan troglodytes). Journal of Experimental Psychology and Animal Behavior Processes 22: 76–86

    Google Scholar 

  • Byrne R., Whiten A. (1988) Machiavellian intelligence. Oxford University Press, Oxford

    Google Scholar 

  • Calvin W. H. (1996) The cerebral code. The MIT Press/A Bradford Book, Cambridge, MA

    Google Scholar 

  • Calvo-Merino B., Glaser D. E., Grezes J., Passingham R. E., Haggard P. (2005) Action observation and acquired motor skills: An fMRI study with expert dancers. Cerebral Cortex 15: 1243–1249

    Google Scholar 

  • Canolty R. T., Edwards E., Datal S. S., Soltani M., Nagarajan S. S., Kirsch H. E., Berger M. S., Barbaro N. M., Knight R. T. (2006) High gamma power is phase-locked to theta oscillations in human neocortex. Science 313: 1626–1628

    Google Scholar 

  • Caldwell B. (2004) Some reflections on F. A. Hayek’s the sensory order. Journal of Bioeconomics 6: 239–254

    Google Scholar 

  • Chiu P. H., Lohrenz T. M., Montague P. R. (2008) Smoker’s brains compute, but ignore, a fictive error signal in sequential investment task. Nature Neuroscience 11: 514–520

    Google Scholar 

  • Churchland A. K., Kiani R., Shadlen M. N. (2008) Decision-making with multiple alternatives. Nature Neuroscience 11: 693–702

    Google Scholar 

  • Deacon T. W. (1997) The symbolic species. W. W. Norton & Company, New York

    Google Scholar 

  • Dehaene S. (1997) The number sense: How the mind creates mathematics. Oxford University Press, Oxford

    Google Scholar 

  • Dennett D. C. (1987) The intentional stance. The MIT Press and Oxford University Press, Cambridge, MA

    Google Scholar 

  • Dennett D. C. (1991) Consciousness explained. Little Brown and Company, Boston

    Google Scholar 

  • Dennett D. C. (1996) Kinds of minds. BasicBooks, New York

    Google Scholar 

  • Donald M. (1991) The origins of the modern mind. Harvard University Press, Cambridge

    Google Scholar 

  • Doya K. (2008) Modulators of decision making. Nature Neuroscience, 11: 410–416

    Google Scholar 

  • Edelman G. M. (1992) Bright air, brilliant fire: On the matter of the mind. Basic Books, New York

    Google Scholar 

  • Edelman G. M., Tononi G. (2000) A universe of consciousness: How matter becomes imagination. Basic Books, New York

    Google Scholar 

  • Elster J. (1986) The multiple self. Cambridge University Press, Cambridge, MA

    Google Scholar 

  • Estle S. J., Green L., Myerson J., Holt D. D. (2007) Discounting of monetary and directly consumable rewards. Psychological Science 18: 58–63

    Google Scholar 

  • Flinn M. V., Geary D., Ward C. V. (2005) Ecological dominance, social competition, and coalitionary arms races: Why humans evolved extraordinary intelligence. Evolution and Human Behavior 26: 10–46

    Google Scholar 

  • Franklin S. (1995) Artificial minds. The MIT Press, Cambridge, MA

    Google Scholar 

  • Fuster J. M. (1995) Memory in the cerebral cortex. The MIT Press, Cambridge, MA

    Google Scholar 

  • Gallese V., Luciano F., Leonardo F., Rizzolatti G. (1996) Action recognition in the premotor cortex. Brain 119: 593–609

    Google Scholar 

  • Gallese V. (2001) The ‘shared manifold’ hypothesis: From mirror neurons to sympathy. Journal of Consciousness Studies 8: 33–50

    Google Scholar 

  • Gazzaniga M. S. (1998) The mind’s past. University of California Press, Berkeley

    Google Scholar 

  • Geisler W. S., Diehl R. L. (2003) A Bayesian approach to the evolution of perceptual and cognitive systems. Cognitive Science 27: 379–402

    Google Scholar 

  • George D. (2001) Unpreferred preferences: Unavoidable or a failure of the market? Eastern Economic Journal 27: 463–479

    Google Scholar 

  • Gifford A. Jr. (1999) Being & time: On the nature and the evolution of institutions. Journal of Bioeconomics 1: 127–149

    Google Scholar 

  • Gifford A. Jr. (2002a) Emotion and self-control. Journal of Economic Behavior and Organization 49: 113–130

    Google Scholar 

  • Gifford A. Jr. (2002b) The evolution of the social contract. Constitutional Political Economy 13: 361–379

    Google Scholar 

  • Gifford A. Jr. (2005) The role of culture and meaning in rational choice. Journal of Bioeconomics 7: 129–155

    Google Scholar 

  • Gifford A. Jr. (2007) The knowledge problem, determinism and the Sensory order. Review of Austrian Economics 20: 269–291

    Google Scholar 

  • Gilbert D. T. (2005) Stumbling on happiness. Vantage Books, New York

    Google Scholar 

  • Gilbert D. T., Wilson T. D. (2007) Prospection: Experiencing the future. Science 317: 1351–1354

    Google Scholar 

  • Gintis H. (2007) A framework for the unification of the behavioral sciences. Behavioral and Brain Sciences, 30: 1–61

    Google Scholar 

  • Gold E. M. (1967) Language identification in the limit. Information and Control 16: 447–474

    Google Scholar 

  • Gottfried J. A., O’Doherty J., Dolan R. J. (2003) Encoding predictive reward value in human amygdala and oribitofrontal cortex. Science 301: 1104–1107

    Google Scholar 

  • Glimcher P. W. (2003) Decisions, uncertainty, and the brain: The science of neuroeconomics. The MIT Press, Cambridge, MA

    Google Scholar 

  • Harrison G. W., Lau M. I., Williams M. B. (2002) Estimating individual discount rates in Denmark: A field experiment. American Economic Review 92: 1606–1617

    Google Scholar 

  • Hayden B. Y., Platt M. L. (2007) Temporal discounting predicts risk sensitivity in rhesus macaques. Current Biology 17: 49–53

    Google Scholar 

  • Hayek F. A. (1952) The sensory order. The University of Chicago Press, Chicago

    Google Scholar 

  • Heiner R. A. (1983) The origin of predictable behavior. American Economic Review 73: 560–595

    Google Scholar 

  • Hills T. T. (2006) Animal foraging and the evolution of goal-directed cognition. Cognitive Science 30: 3–41

    Google Scholar 

  • Jeffery K. (2004) Remembrance of futures past. Trends in Cognitive Science 8: 197–199

    Google Scholar 

  • Jeffrey R. C. (1974) Preference among preferences. Journal of Philosophy 71: 377–391

    Google Scholar 

  • Kim S., Hwang J., Lee D. (2008) Prefrontal coding of temporally discounted values during intertemporal choice. Neuron, 59: 161–172

    Google Scholar 

  • Kivetz R., Keinan A. (2006) Repenting hyperopia: An analysis of self-control regrets. Journal of Consumer Research 33: 273–282

    Google Scholar 

  • Koch C. (2004) The quest for consciousness. Roberts and Company, Englewood, CO

    Google Scholar 

  • Koch C., Crick F. (2001) The zombie within. Nature 411: 893

    Google Scholar 

  • Koehler J. J. (1996) The base rate fallacy reconsidered: Descriptive, normative, and methodological challenges. Behavioral and Brain Sciences 19: 1–53

    Article  Google Scholar 

  • Kornhuber H.H., Deech l. (1965) Hirnpotentialandeerungen bei wilkurbewegungen und passiv bewegungen des menschen: Bereitschaftspotential und reafferente pontentiale. Pflugers Archiv fur Gesamte Pschologie, 284: 1–17

    Google Scholar 

  • Laibson D. (1997) Golden eggs and hyperbolic discounting. Quarterly Journal of Economics 112: 443–447

    Google Scholar 

  • Landa J. T. (1999) The law and bioeconomics of ethnic cooperation and conflict in plural societies of Southeast Asia: a theory of Chinese merchant success. Journal of Bioeconomics 1: 269–284

    Google Scholar 

  • LeDoux J. (1996) The emotional brain. Simon & Schuster, New York

    Google Scholar 

  • Lee D. (2008) Game theory and the neural basis of social decision making. Nature Neuroscience 11: 404–409

    Google Scholar 

  • Levy N. (2005) Libet’s impossible demand. Journal of Consciousness Studies 12: 67–76

    Google Scholar 

  • Libet B., Gleason C. A., Wright E. W., Pearl D. (1983) Time of unconsciousness intention to act in relation to onset of cerebral activity (readiness-potential). Brain 106: 623–642

    Google Scholar 

  • Lohrenz, T., McCabe, K., Camerer, C. F., & Montague, P. R. (2007). Neural signature of fictive learning in a sequential investment task. In Proceedings of the National Academy of Sciences, Vol. 104, pp. 9493–9498.

  • Marchiori D., Warflien M. (2008) Predicting human interactive learning by regret-driven neural networks. Science 319: 1111–1113

    Google Scholar 

  • McNamara J. M., Houston A. I. (1986) The common currency for behavioral decisions. The American Naturalist 127: 358–378

    Google Scholar 

  • McQuade T. J., Butos W. N. (2005) The sensory order and other adaptive classifying systems. Journal of Bioeconomics 7: 335–358

    Google Scholar 

  • Montague P. R., Dayan P., Sejnowski T. J. (1996) A framework for mesencephalic dopamine systems based on predictive Hebbian learning. The Journal of Neuroscience 76: 1936–1947

    Google Scholar 

  • Montague P. R., Dayan P., Person C., Sejnowski T. J. (1995) Bee foraging in uncertain environments using predictive Hebbian learning. Nature 377: 725–730

    Google Scholar 

  • Morgan J. P., Chaganty N. R., Dahiya R. C., Doviak M. J. (1991) Let’s make a deal: The player’s dilemma. American Statistician 45: 284–287

    Google Scholar 

  • Nenkov G. Y., Inman J. J., Hulland J. (2008) Considering the future: The conceptualization and measurement of elaboration on potential outcomes. Journal of Consumer Research 35: 126–141

    Google Scholar 

  • Neu W. (2008) Making sense of brain models: A survey and interpretation of the literature. Journal of Bioeconomics 10: 165–192

    Google Scholar 

  • Odum A. L., Rainaud C. P. (2003) Discounting of delayed hypothetical money, alcohol and food. Behavioral Processes 64: 305–313

    Google Scholar 

  • Osvath, M., & Osvath, H. (2008). Chimpanzee (Pan troglodytes) and orangutan (Pongo abelii) forethought: Self-control and pre-experience in the face of the future. Animal Cognition (advanced on-line publication). doi:10.1007/s10071-008-0157-0.

  • Oaten M., Cheng K. (2007) Improvements in self-control from financial monitoring. Journal of Economic Psychology 28: 487–501

    Google Scholar 

  • Pearl J. (2000) Causality: Models, reasoning and inference. Cambridge University Press, Cambridge, MA

    Google Scholar 

  • Platt M. L., Huettel S. A. (2008) Risky business: The neuroeconomics of decision making under uncertainty. Nature Neuroscience 11: 398–403

    Google Scholar 

  • Posner R. A. (1995) Aging and old age. University of Chicago Press, Chicago

    Google Scholar 

  • Raby C. R., Alexis D. M., Dickinson A., Clayton N. S. (2007) Planning for the future by western scrub-jays. Nature 445: 919–921

    Google Scholar 

  • Rabinovich A., Webley P. (2007) Filling the gap between planning and doing: Psychological factors involved in the successful implementation of saving intention. Journal of Economic Psychology 28: 444–461

    Google Scholar 

  • Richerson P., Boyd R. (2005) Not by genes alone: How culture transformed human evolution. The University of Chicago Press, Chicago

    Google Scholar 

  • Rizzolatti G., Luciano F., Leonardo F., Gallese V. (1996) Premotor cortex and the recognition of motor actions. Cognitive Brain Research 3: 131–141

    Google Scholar 

  • Rolls E. T. (1999) The brain and emotion. Oxford University Press, Oxford

    Google Scholar 

  • Ross D. (2005) Economic theory and cognitive science: Microexplanation. The MIT Press, Cambridge, MA

    Google Scholar 

  • Schacter D. L., Addis D. R., Buckner R. L. (2008) Episodic simulation of future events: Concepts, data, and applications. Annals of the New York Academy of Sciences 1124: 39–60

    Google Scholar 

  • Schaller S. (1991) A man without words. Summit Books, New York

    Google Scholar 

  • Scholz J. K., Seshadri A., Khitatrakun S. (2006) Are Americans saving ‘optimally’ for retirement? Journal of Political Economy 114: 607–643

    Google Scholar 

  • Schultz W., Dayan P., Montague P. R. (1997) A neural substrate of prediction and reward. Science 275: 1593–1599

    Google Scholar 

  • Searle J. R. (1995) The construction of social reality. The Free Press, New York

    Google Scholar 

  • Shiffrin R. M. (2003) Modeling memory and perception. Cognitive Science 27: 341–378

    Google Scholar 

  • Sharma J., Dragoi V., Tenenbaum J.B., Miller E.K., Sur M. (2003) V1 neurons signal acquisition of an internal representation of stimulus location. Science, 300: 1758–1763

    Google Scholar 

  • Soon C. S., Brass M., Heinze H.-J., Haynes J.-D. (2008) Unconscious determinants of free decisions in the human brain. Nature Neuroscience 11: 543–545

    Google Scholar 

  • Stanovich K. E., West R. (2000) Individual differences in reasoning: Implications for the rationality debate? Behavioral and Brain Sciences 23: 645–726

    Google Scholar 

  • Steel P. (2007) The nature of procrastination: A meta-analytic and theoretical review of quintessential self-regulatory failure. Psychological Bulletin, 133: 65–94

    Google Scholar 

  • Stephens D. W., Mclinn C. M., Stevens J. R. (2002) Discounting and reciprocity in an iterated prisoner’s dilemma. Science 298: 2216–2218

    Google Scholar 

  • Suddendorf T., Corballis M. C. (2007) The evolution of foresight: What is mental time travel, and is it unique to humans? Behavioral and Brain Sciences 30: 299–351

    Google Scholar 

  • Szpunar, K. K., Watson, J. M., & McDermott, K. B. (2007). Neural substrates of envisioning the future. In Proceedings of the National Academy of Sciences, Vol. 104, pp. 642–647.

  • Todorov E. (2004) Optimality principles in sensorimotor control. Nature Neuroscience 7: 907–915

    Google Scholar 

  • Tomasello M. (1999) The cultural origins of human cognition. Harvard University Press, Cambridge, MA

    Google Scholar 

  • Tomasello M. (2003) Constructing a language: A usage-based theory of language acquisition. Harvard University Press, Cambridge, MA

    Google Scholar 

  • Tomasello M., Carpender M., Call J., Behne T., Moll H. (2005) Understanding and sharing intentions: The origins of cultural cognition. Behavioral and Brain Sciences 28: 675–691

    Google Scholar 

  • van Duijn M., Bem S. (2005) On the alleged illusion of conscious will. Philosophical Psychology 18: 699–714

    Google Scholar 

  • Waskan J. A. (2003) Intrinsic cognitive models. Cognitive Science 27: 259–283

    Google Scholar 

  • Whiten, A., Byrne, R. W. (eds) (1997) Machiavellian intelligence II: Extensions and evaluations. Cambridge University Press, Cambridge, MA

    Google Scholar 

  • Wilson T. D. (2002) Strangers to ourselves: Discovering the adaptive unconscious. The Belknap Press of Harvard University Press, Cambridge, MA

    Google Scholar 

  • Wilson T. D., Gilbert D. T. (2005) Affective forecasting: Knowing what to want. Current Directions in Psychological Science 14: 131–134

    Google Scholar 

  • Yang Z., Purves D. (2003) A statistical explanation of visual space. Nature Neuroscience 6: 632–640

    Google Scholar 

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Gifford, A. Rationality and intertemporal choice. J Bioecon 11, 223–248 (2009). https://doi.org/10.1007/s10818-009-9068-7

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