A Novel Agent-Based Model for Search in Distributed Networks

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.