Searching and sharing information in networks of heterogeneous agents

This paper extends existing methods for information searching and sharing in large-scale, dynamic networks of agents, to deal with networks of heterogeneous agents: Agents that do not share a common conceptualization of information categories and agents that have different preferences on specific information categories. The proposed method extends the method proposed in [7] by building overlay networks for specific information categories. The paper demonstrates through performance experiments the effectiveness of the method, even in cases where these agents shift their expertise. Categories and Subject Descriptors I.2.11 [Artificial Intelligence]: Distributed Artificial Intelligence

• Type: Conference
• Year: 2008
• Where: ATAL
• Authors: George A. Vouros
• Keywords: Artificial Intelligence, ATAL 2008, Heterogeneous Agents, Intelligent Agents, Specific Information Categories