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Erschienen in:
1996 | ReviewPaper | Buchkapitel
Evolving behavioral strategies in predators and prey
verfasst von : Thomas Haynes, Sandip Sen
Erschienen in: Adaption and Learning in Multi-Agent Systems
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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The predator/prey domain is utilized to conduct research in Distributed Artificial Intelligence. Genetic Programming is used to evolve behavioral strategies for the predator agents. To further the utility of the predator strategies, the prey population is allowed to evolve at the same time. The expected competitive learning cycle did not surface. This failing is investigated, and a simple prey algorithm surfaces, which is consistently able to evade capture from the predator algorithms.