A SUPER-AGENT-BASED FRAMEWORK FOR REPUTATION MANAGEMENT AND COMMUNITY FORMATION IN DECENTRALIZED SYSTEMS

Computational Intelligence(2014)

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摘要
In this article, we propose a novel super-agent-based framework for reputation management and community formation in decentralized systems. We describe this framework in the context of Web service selection where agents with more capabilities act as super-agents. These super-agents serve as reputation managers to maintain reputation information of services and share the information with other consumer agents that have fewer capabilities than the super-agents. In addition, super-agents can maintain communities and build community-based reputation for a service based on the opinions from all community members that have similar interests and judgement criteria as the super-agents or the other community members. A practical reward mechanism is also introduced to create incentives for super-agents to contribute their resources to maintain reputation and form communities and provide truthful reputation information. Experimental results obtained through simulation confirm that our approach achieves better effectiveness and scalability compared to the systems that do not use super-agents and that do not form communities.
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关键词
super-agents,reputation management,community of agents,decentralized systems,Web service selection
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