Schipper, Burkhard C (2008): On an Evolutionary Foundation of Neuroeconomics.
Preview |
PDF
MPRA_paper_8884.pdf Download (239kB) | Preview |
Abstract
Neuroeconomics focuses on brain imaging studies mapping neural responses to choice behavior. Economic theory is concerned with choice behavior but it is silent on neural activities. We present a game theoretic model in which players are endowed with an additional structure - a simple "nervous system" - and interact repeatedly in changing games. The nervous system constrains information processing functions and behavioral functions. By reinterpreting results from evolutionary game theory (Germano, 2007), we suggest that nervous systems can develop to "function well" in exogenously changing strategic environments. We present an example indicating that an analogous conclusion fails if players can influence endogenously their environment.
Item Type: | MPRA Paper |
---|---|
Original Title: | On an Evolutionary Foundation of Neuroeconomics |
Language: | English |
Keywords: | Neuroeconomic theory; Evolutionary game theory; Learning in games |
Subjects: | B - History of Economic Thought, Methodology, and Heterodox Approaches > B4 - Economic Methodology > B40 - General B - History of Economic Thought, Methodology, and Heterodox Approaches > B2 - History of Economic Thought since 1925 > B21 - Microeconomics A - General Economics and Teaching > A1 - General Economics > A12 - Relation of Economics to Other Disciplines C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C73 - Stochastic and Dynamic Games ; Evolutionary Games ; Repeated Games B - History of Economic Thought, Methodology, and Heterodox Approaches > B2 - History of Economic Thought since 1925 > B25 - Historical ; Institutional ; Evolutionary ; Austrian C - Mathematical and Quantitative Methods > C7 - Game Theory and Bargaining Theory > C72 - Noncooperative Games D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D87 - Neuroeconomics |
Item ID: | 8884 |
Depositing User: | Burkhard C Schipper |
Date Deposited: | 29 May 2008 03:51 |
Last Modified: | 26 Sep 2019 10:48 |
References: | [1] Benhabib, J. and A. Bisin (2005). Modeling internal commitment mechanisms and self-control: A neuroeconomics approach to consumption-saving decisions, Games and Economic Behavior 52, 460-492. [2] Bernheim, B.D. and A. Rangel (2004). Addiction and cue-triggered decision processes, American Economic Review 94, 1558-1590. [3] Brocas, I. and J. D. Carillo (2008a). The brain as a hierarchical organization, American Economic Review, forthcoming. [4] Brocas, I. and J. D. Carillo (2008b). Theories of the mind, American Economic Review Papers and Proceedings, forthcoming. [5] Cabrales, A. and J. Sobel (1992). On the limit points of discrete selection dynamics, Journal of Economic Theory 57, 407-419. [6] Camerer, C., Loewenstein, G., and D. Prelec (2005). Neuroeconomics: How neuroscience can inform economics, Journal of Economic Literature 43, 9-64. [7] Chaplin, A. and M. Dean (2008). Dopamine, reward prediction error, and economics, Quarterly Journal of Economics, forthcoming. [8] Cohen, J.D. and F. Tong (2001). The face of controversy, Science 293, 2405-2407. [9] Darwin, C. (1859). The origin of species by means of natural selection or the preservation of favoured races in the struggle for life, New York: Pinguin, 1958. [10] Dunbar, R.I.M. and S. Shultz (2007). Evolution in the social brain, Science 317, 1344-1347. [11] Exner, S. (1894). Entwurf zu einer physiologischen Erkl¨arung der psychologsischen Erscheinungen, Leipzig, Wien: F. Deuticke. [12] Fudenberg, D. and D. Levine (2006). A dual self model of impulse control, American Economic Review 96, 1449-1476. [13] Gazzaniga, M.S., Ivry, R.B., and G. R. Mangun (2002). Cognitive neuroscience. The biology of the mind, Second edition, New York: Norton. [14] Germano, F. (2007). Stochastic evolution of rules for playing finite normal form games, Theory and Decision 62, 311-333. [15] Gigerenzer, G., Todd, P.M., and the ABC Research Group (2000). Simple heuristics that make us smart, New York: Academic Press. [16] Glimcher, P.W. (2003). Decisions, uncertainty, and the brain, Cambridge, M.A.: MIT Press. [17] Glimcher, P.W. and A. Rustichini (2004). Neuroeconomics: The consilience of brain and decision, Science 306, 447-452. [18] G¨uth, W. and M. Yaari (1992). Explaining reciprocal behavior in a simple strategic game: An evolutionary approach, in: Witt, U. (ed.), Explaining process and change - Approaches to Evolutionary Economics, An Arbor: The University of Michigan Press, 23-34. [19] Harbaugh, W.T., Krause, K. and T. Berry (2001). On the development of rational choice behavior, American Economic Review 91, 1539-1545. [20] Haug, H. (1987). Brain sizes, surfaces, and neuronal sizes of the cortex cerebri: A stereological investigation of man and his variability and a comparison with some mammals (primates, whales, marsupials, insectivores, and one elephant), American Journal of Anatomy 180, 126-142. [21] Kosfeld, M., Heinrichs, M., Zak, P., Fischbacher, U. and E. Fehr (2005). Oxytocin increases trust in humans, Nature 435, 673-676. [22] Livnat, A. and N. Pippenger (2006). An optimal brain can be composed of conflicting agents, Proceedings of the National Academy of Sciences 103, 3108-3202. [23] McCabe, K. A. (2008). Neuroeconomics and the economic sciences, Economics and Philosophy, forthcoming. [24] Robson, A. and H.S. Kaplan (2003). The evolution of human life-expectancy and intelligence in hunter-gatherer societies, American Economic Review 93, 150-169. [25] Roth, G. and U. Dicke (2005). Evolution of the brain and intelligence, Trends in Cognitive Sciences 9, 250-257. [26] Schierwater, B (2005). My favourite animal, trichoplax adhaerens, Bioessays 27, 1294-1302. [27] Weibull, J. (1995). Evolutionary game theory, Cambridge, M.A.: The MIT Press. [28] Zak, P., Kurzban, R. and W.T. Matzner (2005). Oxytocin is associated with human trustworthiness, Hormones and Behavior 48, 522-527. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/8884 |