توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱A Soft Computing Approach in MAS Modeling
اطلاعات انتشار: اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند، سال
تعداد صفحات: ۱۰
Nowadays multi–agent modeling is one of the important problems in problem–domains in which several agents are involved. One of the main reasons for modeling agents is to become capable of predicting their behaviors in special situations. In this paper a modeling algorithm for multi–agent systems is presented which is applicable in domains like RoboCup coach competitions. (a very chaotic and uncertain domain with large number of agents).This algorithm is a combination of a classic data mining algorithm named association rule mining and fuzzy set theory which leads to a soft computing approach. Also some evaluation methods for recognition of models are presented and finally, some experiments for measuring accuracy of models and evaluation methods are
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نمایش نتایج ۱ تا ۱ از میان ۱ نتیجه