Enhancing cooperative behavior for online reputation systems by group selection

Yizhi Ren, Mingchu Li, Yongrui Cui, Cheng Guo, Kouichi Sakurai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reputation systems are very useful in large online communities in which users may frequently have the opportunity to interact with users with whom they have no prior experience. Recently, how to enhance the cooperative behaviors in the reputation system that has became to one of the key open issues. Research in the evolutionary game theory shows that the group selection or multilevel selection can favor the cooperation in the finite populations. Furthermore, Nowak et al., in [1], [2] give a fundamental condition for the evolution of cooperation by group selection.Based on the above important result, we extend the group selection concept in evolutionary biology and propose a group-based mechanism to enhance cooperation for online reputation systems.

Original languageEnglish
Title of host publicationUIC-ATC 2009 - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC'09 and ATC'09 Conferences
Pages568-573
Number of pages6
DOIs
Publication statusPublished - Dec 1 2009
EventSymposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC'09 and ATC'09 Conferences, UIC-ATC 2009 - Brisbane, Australia
Duration: Jul 7 2009Jul 9 2009

Publication series

NameUIC-ATC 2009 - Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC'09 and ATC'09 Conferences

Other

OtherSymposia and Workshops on Ubiquitous, Autonomic and Trusted Computing in Conjunction with the UIC'09 and ATC'09 Conferences, UIC-ATC 2009
Country/TerritoryAustralia
CityBrisbane
Period7/7/097/9/09

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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