Adapting Control Strategies for Situated Autonomous Agents
نویسندگان
چکیده
This paper studies how to balance evolutionary design and human expertise in order to best design situated autonomous agents which can learn speciic tasks. A genetic algorithm designs control circuits to learn simple behaviors, and given control strategies for simple behaviors, the genetic algorithm designs a combinational circuit that switches between these simple behaviors to perform a navigation task.
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