Presentation 2005/10/10
An Evolutionary Model of the Human Value Function in Prospect Theory
Shigemi SAWA, Hideaki ITOH, Kiyohiko NAKAMURA,
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Abstract(in English) The prospect theory (Daniel Kahneman and Amos Tversky, 1979)[1] is the study about the value function how we evaluate gains taken from environment subjectively. In this report, we studied how human get the value function of the prospect theory. We explain the evolutionary psychological rightfulness of the value function by applying struggle for existence with the survival of the fittest in environment. We model the value function and analyze it mathematically. We found the conditions as to when the value function is concave in the gains area and convex in the losses area as the prospect theory shows. Also, we put the parameter shown in Daniel Kahneman and Amos Tversky (1992)[3] into our model and we obtained new knowledge about human's decision making.
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Keyword(in English) Prospect theory / Evolutionary psychology / Decision making / Value function
Paper # NC2005-43
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Committee NC
Conference Date 2005/10/10(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Evolutionary Model of the Human Value Function in Prospect Theory
Sub Title (in English)
Keyword(1) Prospect theory
Keyword(2) Evolutionary psychology
Keyword(3) Decision making
Keyword(4) Value function
1st Author's Name Shigemi SAWA
1st Author's Affiliation Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology()
2nd Author's Name Hideaki ITOH
2nd Author's Affiliation Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology
3rd Author's Name Kiyohiko NAKAMURA
3rd Author's Affiliation Department of Computational Intelligence and Systems Science, Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology
Date 2005/10/10
Paper # NC2005-43
Volume (vol) vol.105
Number (no) 341
Page pp.pp.-
#Pages 6
Date of Issue