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In this paper, we models autonomous adaptive agents after several ecological concepts and mechanisms. We have concentrated on developing an agent-based model for controlling query messages that are represented as agent; the Ecologically Inspired Distributed Search (EIDS), which derives its inspiration from natural ecosystem, is presented.. As an experiment result, we compare its performance against the well-known k-random walker approach. We focus on the problem of actively changing the topology of the P2P network by utilizing Schelling's segregation model to improve the efficiency of search.
Date of Conference: 12-14 Oct. 2008