DocumentCode :
2297426
Title :
Enhancing Cooperative Behavior for Online Reputation Systems by Group Selection
Author :
Ren, Yizhi ; Li, Mingchu ; Cui, Yongrui ; Guo, Cheng ; Sakurai, Kouichi
Author_Institution :
Sch. of Software, Dalian Univ. of Technol., Dalian, China
fYear :
2009
fDate :
7-9 July 2009
Firstpage :
568
Lastpage :
573
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, Nowaket al., in 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.
Keywords :
game theory; open systems; cooperative behavior; evolutionary biology; evolutionary game theory; group selection; multilevel selection; online reputation systems; Communication system software; Computer science; Conferences; Evolution (biology); Game theory; Information technology; Network servers; Peer to peer computing; Pervasive computing; Systems biology; Cooperation; Group Selection; Reputation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4244-4902-6
Electronic_ISBN :
978-0-7695-3737-5
Type :
conf
DOI :
10.1109/UIC-ATC.2009.81
Filename :
5319136
Link To Document :
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