A Combined Method for Learning Group Behavior through Observation inMulti-agents System of Semantic Web
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ECDC08_071
تاریخ نمایه سازی: 6 آذر 1393
Abstract:
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 groupbehavior 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 thatproposed model has higher performance than other models
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Authors
Mohammad Rostami
Member of young Researchers Club, Islamic Azad University, Dehaghan Branch, Isfahan, Iran
Siroos Shiyasi
Computer Engineering (MA), Payam Noor University, Tiran Center, Iran
fatemeh Yaghoobi#
Student of computer engineering, Islamic Azad university, mahallat branch, Iran
Saeed Afrough mojtaba nikrooz
Department of computer engineering, Islamic Azad university, Tiran branch, Isfahan, Iran
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