Abstract
Multi-agent systems based on N-person games with limited interaction are considered. We are interested in the global behavior of the team of players, measured by the average payoff received by a player. To evolve a global behavior in the system, we propose a coevolutionary algorithm, where only local fitness functions are evaluated while the global criterion is optimised. The multi-agent system is applied to develop a distributed algorithm of dynamic mapping tasks in parallel computers.
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Seredynski, F. (1996). Coevolutionary game theoretic multi-agent systems. In: Raś, Z.W., Michalewicz, M. (eds) Foundations of Intelligent Systems. ISMIS 1996. Lecture Notes in Computer Science, vol 1079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61286-6_160
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DOI: https://doi.org/10.1007/3-540-61286-6_160
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