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

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

6

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CISE.2009.5366694

Filename

5366694