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Integration of advice in an action-selection architecture

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (2003) 2752 195-205
DOI: 10.1007/978-3-540-45135-8_15
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Abstract

The introduction of a coach competition in the RoboCup-2001 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 action-selection 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. © Springer-Verlag Berlin Heidelberg 2003.

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APA

Carpenter, P., Riley, P., Veloso, M. M., & Kaminka, G. A. (2003). Integration of advice in an action-selection architecture. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2752, pp. 195–205). Springer Verlag. https://doi.org/10.1007/978-3-540-45135-8_15

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