Agent Strategy Generation by Rule Induction in Predator-Prey Problem

نویسنده

  • Bartlomiej Sniezynski
چکیده

This paper contains a proposal of application of rule induction for generating agent strategy. This method of learning is tested on predator-prey domain, in which predator agents learn how to capture preys. However, we assume that proposed learning mechanism will be beneficial in all domains, in which agents can determine direct results of their actions. Experimental results show that learning process is fast. Also multi-agent communication aspect is taken into account. We show that in a specific conditions transferring learned rules gives profits to the learning agents.

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تاریخ انتشار 2009