Document Detail


Attitude adaptation in satisficing games.
MedLine Citation:
PMID:  19556204     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Satisficing game theory offers an alternative to classical game theory that describes a flexible model of players' social interactions. Players' utility functions depend on other players' attitudes rather than simply their actions. However, satisficing players with conflicting attitudes may enact dysfunctional behaviors, which results in poor performance. We present an evolutionary method by which a population of players may adapt their attitudes to improve payoff. In addition, we extend the Nash-equilibrium concept to satisficing games, showing that the method leads players toward the equilibrium in their attitudes. We apply these ideas to the stag hunt--a simple game in which cooperation does not easily evolve from noncooperation. The evolutionary method provides two major contributions. First, satisficing players may improve their performance by adapting their attitudes. Second, numerical results demonstrate that cooperation in the stag hunt can emerge much more readily under the method we present than under traditional evolutionary models.
Authors:
Matthew Nokleby; Wynn Stirling
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2009-06-23
Journal Detail:
Title:  IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society     Volume:  39     ISSN:  1941-0492     ISO Abbreviation:  IEEE Trans Syst Man Cybern B Cybern     Publication Date:  2009 Dec 
Date Detail:
Created Date:  2009-09-24     Completed Date:  2010-01-13     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9890044     Medline TA:  IEEE Trans Syst Man Cybern B Cybern     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1556-67     Citation Subset:  IM    
Affiliation:
Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT 84602, USA. nokleby@rice.edu
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MeSH Terms
Descriptor/Qualifier:
Attitude*
Cooperative Behavior*
Game Theory*
Humans
Models, Theoretical*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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