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From perception to action: An economic model of brain processes

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  • Brocas, Isabelle
  • Carrillo, Juan D.

Abstract

We build on research from neurobiology to model the process through which the brain maps outside evidence into decisions. The sensory system encodes information through cell-firing. Cell-firing is measured against a threshold, and an action is triggered depending on whether the threshold is surpassed. The decision system modulates the threshold. We show that the (constrained) optimal threshold is set in a way that existing beliefs are likely to be confirmed. We then derive behavioral implications. Our mechanism can explain in a unified framework a number of ‘anomalies’ noted in psychology and economics: (i) belief anchoring (the order in which evidence is received affects beliefs and choices); (ii) polarization (individuals with opposite priors may polarize their opinions after receiving identical evidence); (iii) payoff-dependence of beliefs and (iv) belief disagreement (individuals with identical priors who receive the same evidence may end up with different posterior beliefs).

Suggested Citation

  • Brocas, Isabelle & Carrillo, Juan D., 2012. "From perception to action: An economic model of brain processes," Games and Economic Behavior, Elsevier, vol. 75(1), pages 81-103.
  • Handle: RePEc:eee:gamebe:v:75:y:2012:i:1:p:81-103
    DOI: 10.1016/j.geb.2011.10.001
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    1. Fryer Roland & Jackson Matthew O., 2008. "A Categorical Model of Cognition and Biased Decision Making," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-44, February.
    2. H. R. Heekeren & S. Marrett & P. A. Bandettini & L. G. Ungerleider, 2004. "A general mechanism for perceptual decision-making in the human brain," Nature, Nature, vol. 431(7010), pages 859-862, October.
    3. Margaret A. Meyer, 1991. "Learning from Coarse Information: Biased Contests and Career Profiles," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(1), pages 15-41.
    4. Chew, Soo Hong, 1983. "A Generalization of the Quasilinear Mean with Applications to the Measurement of Income Inequality and Decision Theory Resolving the Allais Paradox," Econometrica, Econometric Society, vol. 51(4), pages 1065-1092, July.
    5. Thaler, Richard H & Shefrin, H M, 1981. "An Economic Theory of Self-Control," Journal of Political Economy, University of Chicago Press, vol. 89(2), pages 392-406, April.
    6. Shefrin, Hersh, 2008. "A Behavioral Approach to Asset Pricing," Elsevier Monographs, Elsevier, edition 2, number 9780123743565.
    7. Sah, Raaj Kumar & Stiglitz, Joseph E, 1986. "The Architecture of Economic Systems: Hierarchies and Polyarchies," American Economic Review, American Economic Association, vol. 76(4), pages 716-727, September.
    8. Chew, Soo Hong & Sagi, Jacob S., 2008. "Small worlds: Modeling attitudes toward sources of uncertainty," Journal of Economic Theory, Elsevier, vol. 139(1), pages 1-24, March.
    9. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    10. Michael L. Platt & Paul W. Glimcher, 1999. "Neural correlates of decision variables in parietal cortex," Nature, Nature, vol. 400(6741), pages 233-238, July.
    11. Shefrin, Hersh M & Thaler, Richard H, 1988. "The Behavioral Life-Cycle Hypothesis," Economic Inquiry, Western Economic Association International, vol. 26(4), pages 609-643, October.
    12. Camillo Padoa-Schioppa & John A. Assad, 2006. "Neurons in the orbitofrontal cortex encode economic value," Nature, Nature, vol. 441(7090), pages 223-226, May.
    13. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    14. Arthur J. Robson, 2001. "The Biological Basis of Economic Behavior," Journal of Economic Literature, American Economic Association, vol. 39(1), pages 11-33, March.
    15. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    16. Glimcher, Paul W. & Dorris, Michael C. & Bayer, Hannah M., 2005. "Physiological utility theory and the neuroeconomics of choice," Games and Economic Behavior, Elsevier, vol. 52(2), pages 213-256, August.
    17. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    18. Marc O. Ernst & Martin S. Banks, 2002. "Humans integrate visual and haptic information in a statistically optimal fashion," Nature, Nature, vol. 415(6870), pages 429-433, January.
    19. Arthur J. Robson, 2001. "Why Would Nature Give Individuals Utility Functions?," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 900-929, August.
    20. Isabelle Brocas & Juan D. Carrillo, 2008. "Theories of the Mind," American Economic Review, American Economic Association, vol. 98(2), pages 175-180, May.
    21. Matthew Rabin & Joel L. Schrag, 1999. "First Impressions Matter: A Model of Confirmatory Bias," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(1), pages 37-82.
    22. Konrad P. Körding & Daniel M. Wolpert, 2004. "Bayesian integration in sensorimotor learning," Nature, Nature, vol. 427(6971), pages 244-247, January.
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    Cited by:

    1. Gonzalo Valdés-Edwards & Salvador Valdés-Prieto, 2013. "A Tractable Theory of Choice Based on Cell Behavior," CESifo Working Paper Series 4424, CESifo.
    2. Brocas, Isabelle & Carrillo, Juan D., 2016. "A neuroeconomic theory of memory retrieval," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 198-205.
    3. Carlos Alós-Ferrer & Maximilian Mihm, 2021. "Updating stochastic choice," ECON - Working Papers 381, Department of Economics - University of Zurich.
    4. Landry, Peter, 2021. "A behavioral economic theory of cue-induced attention- and task-switching with implications for neurodiversity," Journal of Economic Psychology, Elsevier, vol. 86(C).
    5. Brocas, Isabelle & Carrillo, Juan D., 2014. "Dual-process theories of decision-making: A selective survey," Journal of Economic Psychology, Elsevier, vol. 41(C), pages 45-54.

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    More about this item

    Keywords

    Neuroeconomic theory; Information processing; Bayesian updating;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

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