Abstract

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.

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