NDLI: Co-evolution of cooperative strategies under egoism

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Co-evolution of cooperative strategies under egoism

Content Provider	ACM Digital Library
Author	Yu, Tian-Li You, Ying-Shiuan Lien, Ta-Chun
Abstract	This paper examines which elements are necessary for coevolutionary genetic algorithms to evolve cooperative strategies under pure egoistic considerations. Since competitions and cooperations coexist in an auction-based manpower allocation problem, the problem is adopted for further investigation. To alleviate analytical burden, the problem is abstracted to a resource-bidding game under the Nash game framework. A mathematical model for the resource-bidding game is defined and several special cases are illustrated. One of these special cases, named c-mNE, is further investigated due to the existance of cooperative modes. Various kinds of egoistic fitness functions and evolutionary mechanisms are experimented on c-mNE. Based on the experimental results, this paper suggests that coevolutionary mechanisms which properly eliminate aggressive strategies and preserve cooperative strategies can evolve cooperative modes under the pure egoistic assumption.
Starting Page	697
Ending Page	704
Page Count	8
File Format	PDF
ISBN	9781450300728
DOI	10.1145/1830483.1830610
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-07-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Genetic algorithm Coevolution Game theory
Content Type	Text
Resource Type	Article

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