Genetic fuzzy systems to evolve interact
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Igor Walter; Fernando Gomide
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Article
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2007
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John Wiley and Sons
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English
โ 276 KB
This article suggests an evolutionary approach to designing interaction strategies for multiagent systems, focusing on strategies modeled as fuzzy rule-based systems. The aim is to learn models evolving database and rule bases to improve agent performance when playing in a competitive environment. I