Title :
Research on the BDI-Agent Learning Model Based on Dynamic Fuzzy Logic
Author :
Shi, Youqun ; Xu, Hongyun
Author_Institution :
Sch. of Comput. Sci. & Technol., Donghua Univ., Shanghai, China
Abstract :
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.
Keywords :
fuzzy logic; inference mechanisms; multi-agent systems; ontologies (artificial intelligence); unsupervised learning; BDI-agent architecture; BDI-agent learning; automatic reasoning; belief-desire-intention agent; dynamic fuzzy logic; dynamic learning arithmetic; external learning; learning model; learning process; multiagent system; ontology; self-learning; Computer architecture; Computer science; Fuzzy logic; Fuzzy sets; Fuzzy systems; Knowledge representation; Machine learning; OWL; Ontologies; Paper technology;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5366694
