Quantitative results concerning the utility of explanation-based learning
Artificial Intelligence
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
Discovering relevance knowledge in data: a growing cell structuresapproach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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This paper describes a new communication load reduction method ontask negotiation with Contract Net Protocol (CNP) in a multi-agent system. For coordination the agents, the CNP is widely used during the problem solving. But its performance degrades drastically when communicating agents and tasks increase. In order to overcome this problem, Fuzzy Case Based Reasoning (FCBR) is used in CNP, it can reduce the scope of competitors and communication load on task negotiation, make a distinct improvement to the efficiency. At the same time, in FCBR system a new cases maintaining method based on time-serial is proposed in order to ensure a better cooperation between agents and adapt to higher flexibility of system. Experimental results show the performance of the protocol based on FCBR improves significantly.