Social Neuroeconomics: Strong Reciprocity or “Hot Logic”?

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    Social Neuroeconomics: Strong Reciprocity or “Hot Logic”? - Presentation Transcript

    1. Social Neuroeconomics: Strong Reciprocity of ‘Hot Logic’ ? Benoit Hardy-Vallée Department of Philosophy University of Toronto
    2. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion The received view : Cooperation in behavioral economics and neuroeconomics ‘Strong Reciprocity’ - inequity-aversion - cooperation - punishing cheaters Alternative account: ‘Hot Logic’ - egoist cognition - methodological hedonism 2
    3. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Prisoner’s dilemma Ultimatum Game Trust Game Game theory 3
    4. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Prisoner’s dilemma Ultimatum Game Trust Game The prisoner’s dilemma Remain Confess silent Confess - 5, -5 - 10, 0 Remain 0, -10 - 2, -2 silent 4
    5. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Prisoner’s dilemma Ultimatum Game Trust Game the ‘warm glow’ of cooperation Rilling, J., Gutman, D., Zeh,T., Pagnoni, G., Berns, G., & Kilts, C. (2002). A neural basis for social cooperation. Neuron, 35(2), 395-405. 5
    6. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Prisoner’s dilemma Ultimatum Game Trust Game Ultimatum Game Proposer Responder $9/$1 $8/$2.... ... ...$1/$9 Accept/reject 6
    7. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Prisoner’s dilemma Ultimatum Game Trust Game ‘unfair’ offers trigger moral disgust and cognitive conflict Sanfey, A. G., Rilling, J. K., Aronson, J. A., Nystrom, L. E., & Cohen, J. D. (2003).The neural basis of economic decision-making in the Ultimatum Game. Science, 300(5626), 1755-1758. 7
    8. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Prisoner’s dilemma Ultimatum Game Trust Game 1. Trust Game x$ 3x$ A. B. x$ x 3= (Y$) (Y$) A. 2. B. (Y-x $) (Y + 3x$)  Z$ 3. A. B. (Y-x)+Z $) (Y + 3x) –Z $) 8
    9. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Prisoner’s dilemma Ultimatum Game Trust Game the ‘sweet taste’ of revenge: Punishment is predicted by activity in the striatum de Quervain, D. J., Fischbacher, U.,Treyer,V., Schellhammer, M., Schnyder, U., Buck, A., et al. (2004).The neural basis of altruistic punishment. Science, 305(5688), 1254-1258. 9
    10. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Strong Reciprocity : Interpreting Neuroeconomics Fehr, E., Fischbacher, U., & Gachter, S. (2002). Strong reciprocity, human cooperation, and the enforcement of social norms. Human Nature, 13(1), 1-25. Fehr, E., & Rockenbach, B. (2004). Human altruism: economic, neural, and evolutionary perspectives. Curr Opin Neurobiol, 14(6), 784-790. Gintis, H. (2000). Strong Reciprocity and Human Sociality. Journal of Theoretical Biology, 206(2), 169-179. Henrich, J., Boyd, R., Bowles, S., Camerer, C., E., F., & Gintis, H. (2004). Foundations of Human Sociality: Economic Experiments and Ethnographic Evidence from Fifteen Small-Scale Societies: Oxford University Press. Henrich, J., Boyd, R., Bowles, S., Camerer, C., Fehr, E., Gintis, H., et al. (2005). \"Economic man\" in cross-cultural perspective: behavioral experiments in 15 small-scale societies. Behav Brain Sci, 28(6), 795-815; discussion 815-755. 10
    11. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Strong Reciprocity willing to sacrifice resources in order to: - reward fair behavior - punish unfair behavior even if there is no direct or future reward 11
    12. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Strong vs Weak Reciprocity Weak genetic relatedness (kinship) tit-for-tat (direct reciprocity) good reputation (indirect reciprocity) signs of power or wealth (coslty signaling). Strong Pro-social preferences and actions Inequity-averison 12
    13. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion cooperate or memory of planning punish past encounters Others’utility detector inter-agents utility categorization comparator Personal utility equal fair detector unequal unfair Mechanisms of Social Reciprocity 13
    14. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion cooperate or memory of planning punish past encounters Others’utility detector inter-agents utility categorization comparator Personal utility equal fair detector unequal unfair Inequity aversion 14
    15. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion cooperate memory of planning past encounters Others’utility detector inter-agents utility categorization comparator Personal utility equal fair detector unequal unfair Prosocial action 15
    16. “ “the neural foundations of strong reciprocity” ” and a “neural basis for strong reciprocity” (Fehr & Rockenbach, 2004, p. 786/788). Fehr, E., & Rockenbach, B. (2004). Human altruism: economic, neural, and evolutionary perspectives. Curr Opin Neurobiol, 14(6), 784-790. 16
    17. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion ‘Hot logic’ approach: 2 suggestions: other interpretation of the data other methodology 17
    18. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion trust and cooperation signals augment the chances of forming mutually profitable relationships 18
    19. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion altruism can be instrumental “ \"individuals attempt to outcompete each other in terms of generosity. It emerges because altruism enhances the status and reputation of the giver. Status, in turn, yields benefits that would be otherwise ” unattainable.\" (Hardy & Van Vugt, 2006) 19
    20. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Ultimatum Game ‘fair’ acceptables splits profitable splits splits 9/1, 8/2, 7/3... ...3/7, 2/8, 1/9 ...5/5... 20
    21. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion biological altruism (instrumental) 21
    22. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Haley, K., & Fessler, D. (2005). Nobody’s watching? Subtle cues affect generosity in an anonymous economic game. Evolution and Human Behavior, 26(3), 245-256. 22
    23. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Bateson, M., Nettle, D., & Roberts, G. (2006). Cues of being watched enhance cooperation in a real-world setting. Biology Letters, 12, 412-414. 23
    24. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion 24
    25. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Hot Logic and dopaminergic systems http://thebrain.mcgill.ca 25
    26. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion methodological hedonism using feelings to anticipate feelings in order to control our behavior toward a maximization of positive feelings and a minimization of negative ones 26
    27. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion Conclusion Strong Reciprocity: genuinly altruistic + innate drive --more like a mystery than an explanation Hot Logic: methodogical hedonism 27
    28. Introduction Games Strong Reciprocity ‘Hot Logic’ Conclusion “ This egoism is the instrument of our preservation; it resembles the instrument for the perpetuation of the species; we need it, we cherish it, ” it gives us pleasure, and we must hide it. - Voltaire, discussing Mandeville’s Fable of the Bees, In Dictionnaire Philosophique 28
    29. Thanks ! ben.hardy.vallee@utoronto.ca Homepage http://decisis.net   Natural Rationality Blog:  http://naturalrationality.blogspot.com 29

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