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Title:      COMPARING BEHAVIOR IN AGENT MODELLING TASK
Author(s):      José Antonio Iglesias , Agapito Ledezma , Araceli Sanchis
ISBN:      972-8924-09-7
Editors:      Nuno Guimarães, Pedro Isaías and Ambrosio Goikoetxea
Year:      2006
Edition:      Single
Keywords:      Multi-agent Modelling, Coaching, RoboCup, Classification Algorithm.
Type:      Full Paper
First Page:      289
Last Page:      296
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper 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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