Multiagent systems
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Methods for Coalition Formation in Adaptation-Based Social Networks
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
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A Multiagent Tool to Simulate Hybrid Real/Virtual Embedded Agent Societies
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
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Introducing Web Intelligence for communities
Web Intelligence and Agent Systems
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This paper proposes an approach which aims at improving information access skills, services in large networks. It proposes a self-organized multiagent analysis of the problem allowing to reduce the number of messages transmitted for a skill search. The MWAC Multi-Wireless-Agent Communication model is extended to take some specificities of social networks into account, like the information held by the social network members and their connections with the others.The network of agents may represent a social network. Each agent holds information about members agents and is linked with other agents which represent its neighborhood. Each member builds a local network representation according to its needs. A global view of a social network is not dynamically available and furthermore not desirable. Our approach is thus based on a decentralized interrogation of the network and on organizational structures detection.With this method, a search does not need to flood all the network with the query because it uses the self-organized structure that emerges so, it can avoid a saturation in the network and it reduces the amount of transmitted messages. In order to show the interest of the approach, our proposition is validated by several simulations. The applications of this work are related to skill searching in a virtual social network.