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On the surprising finding that expected utility is literally computed in the brain

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  • Jack Vromen

Abstract

Advocates of neuroeconomics sometimes argue that one of the most surprising findings in neuroeconomic studies is that expected utilities are literally computed in the brain. This claim is scrutinized closely in the paper. Not surprisingly, the tenability of the claim is shown to depend critically on what is meant by 'literal computation' and 'surprising'. It is argued that the findings do not show that expected utilities are literally computed, if by 'literal computation' we mean a particular kind of mental activity (namely, deliberate choice). It is also argued that the findings do not lend empirical support to expected utility theory, if that theory is taken to be a theory about individual and aggregate behavior. Findings that in some particular tasks expected utility theory predicts neural activity fairly accurately do not imply that expected utility theory also yields accurate predictions of behavior at 'higher levels', individual behavior and aggregate behavior. What the findings do suggest, it is argued, is that expected utility theory is useful for understanding decision-making at the neural level. Once one accepts that expected utility theory provides a potentially fruitful tool for predicting neural activity in neurobiology, the findings cease to be surprising.

Suggested Citation

  • Jack Vromen, 2010. "On the surprising finding that expected utility is literally computed in the brain," Journal of Economic Methodology, Taylor & Francis Journals, vol. 17(1), pages 17-36.
  • Handle: RePEc:taf:jecmet:v:17:y:2010:i:1:p:17-36
    DOI: 10.1080/13501780903528945
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    Citations

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    Cited by:

    1. Francesco GUALA, 2017. "Preferences: Neither Behavioural nor Mental," Departmental Working Papers 2017-05, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    2. Geoffrey Hodgson, 2014. "Herbert Gintis: The bounds of reason: Game theory and the unification of the behavioral sciences," Journal of Bioeconomics, Springer, vol. 16(3), pages 311-315, October.
    3. Don Ross, 2011. "Neuroeconomics and Economic Methodology," Chapters, in: John B. Davis & D. Wade Hands (ed.), The Elgar Companion to Recent Economic Methodology, chapter 4, Edward Elgar Publishing.
    4. Moscati, Ivan, 2021. "On the recent philosophy of decision theory," LSE Research Online Documents on Economics 115039, London School of Economics and Political Science, LSE Library.
    5. Irene van Staveren, 2012. "An Evolutionary Efficiency Alternative to the Notion of Pareto Efficiency," Economic Thought, World Economics Association, vol. 1(1), pages 1-6, July.

    More about this item

    Keywords

    neuroeconomics; expected utility theory;

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