Coevolutionary Game-Theoretic Multi-Agent Systems
DOI: 10.1007/3-540-61286-6_160
关键词: Multi-agent system 、 Payoff function 、 Nash equilibrium point 、 Stochastic game 、 Computer science 、 Dynamic mapping 、 Artificial intelligence 、 Game theoretic 、 Distributed algorithm
摘要: Multi-agent systems based on N-person games with limited interaction are considered. We interested in the global behavior of team players, measured by average payoff received a player. To evolve system, we propose coevolutionary algorithm, where only local fitness functions evaluated while criterion is optimised. The multi-agent system applied to develop distributed algorithm dynamic mapping tasks parallel computers.
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