Applying a Fuzzy Association Rule Mining Approach in the Robocup Soccer Simulation Domain.

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 outlined. [ABSTRACT FROM AUTHOR]