An Evolutionary Basis for Preference Behavior in Decision Making under Risk

Authors:
Shigemi SAWA;Hideaki ITOH;Kiyohiko NAKAMURA
Affiliations:
Tokyo Institute of Technology;Tokyo Institute of Technology;Tokyo Institute of Technology
Venue:
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
Year:
2006

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Abstract

In decision making under risk, people prefer the risk aversive choices for gains and the risk seeking choices for losses. This paper presents an analysis describing that those choices may increase the survival rate of the animals that made the choices. Two conditions for the same choices as people make to increase the survival rate. It also includes the predictions derived form the conditions and data that supports them.