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Research on the BDI-Agent Learning Model Based on Dynamic Fuzzy Logic

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2 Author(s)
Youqun Shi ; Sch. of Comput. Sci. & Technol., Donghua Univ., Shanghai, China ; Hongyun Xu

This paper uses the new theory tool-dynamic fuzzy logic to study the learning process with the attribute of dynamic and fuzzy as one part of BDI-agent. According to the feature with automatic reasoning of the ontology of agent, we propose the BDI-agent architecture based on the ontology and on the basis of this, we build the two different learning model of BDI-agent in MAS: (1) self-learning; (2) external learning. The combined model and the dynamic learning arithmetic are given.

Published in:
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Date of Conference: 11-13 Dec. 2009

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