Title :
An Evolutionary Basis for Preference Behavior in Decision Making under Risk
Author :
SAWA, Shigemi ; ITOH, Hideaki ; NAKAMURA, Kiyohiko
Author_Institution :
Dept. of Comput. Intell. & Syst. Sci., Tokyo Inst. of Technol., Tokyo
fDate :
Nov. 28 2006-Dec. 1 2006
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.
Keywords :
decision making; decision theory; evolution (biological); psychology; risk analysis; animal survival rate; decision making; preference behavior evolutionary basis; risk aversive choices; risk seeking choices; Animals; Automatic control; Competitive intelligence; Computational intelligence; Computational modeling; Decision making; Humans; Intelligent agent; Internet; Utility theory;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7695-2731-0
DOI :
10.1109/CIMCA.2006.40
