A Combined Method for Learning Group Behavior through Observation in Multi-agents System of Semantic Web

Creating Cooperative behavior in multi agents systems are one of the most important problem in planning. This paper is presented a combined method for learning group behavior through observation in multi-agents system of semantic web. As learning team behaviors is a complex matter, this proposed model is combined tacit knowledge learned through observation an expert team with explicit knowledge domain to make a base of domain. Then, it used plan by proposed model to could able learner team for imitating expert team behavior. team-bots domain is used for evaluating performance of proposed model. After reviewing the results, it was found that proposed model has higher performance than other models.