Publication:
Comparing behavior in agent modelling task

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2006
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International Association for Development of the Information Society (IADIS)
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Abstract
In multi-agent system, agents have to analyze several features in order to adapt their behavior to the current situation. This extracted information is usually related to the environment and other agents influence. In this paper we present a method that compare two different agent models in order to extract the qualitative differences between them. This proposed comparative method captures several features of the two agent models and model them considering its behavior.
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Proceeding of: IADIS International Conference Applied Computing 2006. February 25-28, 2006, San Sebastian, Spain.
Reprint from a paper published in the Proceedings of the IADIS International Conference AC 2006
Keywords
Multi-agent Modelling, Coaching, RoboCup, Classification algorithms
Bibliographic citation
Proceedings of the IADIS International Conference Applied Computing 2006, pp.289-296