سال انتشار: ۱۳۸۶

محل انتشار: اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند

تعداد صفحات: ۱۰

نویسنده(ها):

Ehsan Rafiee – Computer Engineering Department, Iran University of Science and Technology
Morteza Analoui – Computer Engineering Department, Iran University of Science and Technology
Bardia Aghabeigi – Computer Engineering Department, Iran University of Science and Technology
Seyyed Mohammad Saeed Tabatabaee – Computer Engineering Department, Iran University of Science and Technology

چکیده:

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 ispresented 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 presentedand finally, some experiments for measuring accuracy of models and evaluation methods are
outlined.