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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Prospect theory / Evolutionary psychology / Decision making / Value function |
Paper # | NC2005-43 |
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Committee | NC |
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Conference Date | 2005/10/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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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 |
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