Strategies for Distributed Constraint Satisfaction Problems

Q. Y. Luo, P.G. Hendry, J. T. Buchanan

Constraint satisfaction problems are important in AI. Various distributed and parallel computing strategies have been proposed to solve these problems. In this paper, these strategies are classified as distributed-agent-based, parallel-agent-based, and function-agent-based distributed problem-solving strategies. These different strategies are presented and discussed. Parallel-agentbased strategies are found to be very versatile. Computational experience is presented.

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