Аннотация
The predator/prey domain is used 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.
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