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In the development of complex distributed systems using a cognitive multi-agent approach, where each agent encapsulates an expert system, the knowledge acquisition process is known to be the most difficult task. This paper presents a methodology based on planning and on high level Petri nets to the knowledge acquisition process of such systems. This methodology was applied in the implementation of a robot soccer team for the Robocup simulator.
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