Integration of Advice in an Action-Selection Architecture
نویسندگان
چکیده
The introduction of a coach competition in the RoboCup2001 simulation league raised many questions concerning the development of a “coachable” team. This paper addresses the issues of dealing with conflicting advice and knowing when to listen to advice. An actionselection architecture is proposed to support the integration of advice into an agent’s set of beliefs. The results from the coach competition are discussed and provide a basis for experiments. Results are provided to support the claim that the architecture is well-suited for such a task.
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