Journal of South China University of Technology (Natural Science Edition) ›› 2007, Vol. 35 ›› Issue (1): 129-132,137.

• Computer Science & Technology • Previous Articles     Next Articles

Hybrid Fuzzy Agent Structure

Guo Hong-xia  Wu Jie   

  1. School of Electric Power, South China Univ. of Tech. , Guangzhou 510640 , Guangdong , China
  • Received:2005-09-02 Online:2007-01-25 Published:2007-01-25
  • Contact: 郭红霞(1971-)，女，博士，主要从事多Agent系统、强化学习及其在新能源、电力系统中的应用研究。 E-mail:guohx@scut.edu.cn
  • About author:郭红霞(1971-)，女，博士，主要从事多Agent系统、强化学习及其在新能源、电力系统中的应用研究。
  • Supported by:

    国家自然科学基金重点项目( 60534040) ;华南理工大学自然科学青年基金资助项目( B05 E5060080 )

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Abstract:

In order to overcome the intrinsic uncertainty of practical systems , a hybrid fuzzy Agent structure with learning and communication capabilities is first proposed , which consists of five modules一learning,communica-tion, control , knowledge and input-output modules. Then , the sets of fuzzy desire , fuzzy belief and fuzzy intention are defined according to the fuzziness of the Agent. Besides , the function and operation mechanism of each module are introduced , and the operation flowchart of the Agent in an autonomy mode is presented. Simulated results indi-cate that the proposed hybrid fuzzy Agent realizes the stability control of a complex system in three states , and pos-sesses high learning rate and strong robust.

Key words: hybrid fuzzy Agent, fuzzy desire, fuzzy intention, fuzzy belief