DocumentCode :
2425738
Title :
Interval-Valued Agent Belief Model Based on New Fuzzy Set Theory
Author :
Lin, Yunguo ; Chen, Xiaoyun ; Hu, Shanli
Author_Institution :
Fuzhou Univ., Fuzhou
Volume :
4
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
116
Lastpage :
120
Abstract :
In Agent cognitive, Belief is an important part of BDI model. An obvious candidate for representing belief is fuzzy sets. Unfortunately, this presentation is still not perfect at present. For example, the logic system about fuzzy belief model is not complete. In this paper, Interval- valued Agent belief model is constituted by combining the syntax of Lukasiewicz system with the semantics of new fuzzy theory. In this logic system, many important properties can be proved, such as soundness and completeness. At last, the effectiveness and reasonableness about this model are showed through some examples.
Keywords :
belief maintenance; cognitive systems; formal languages; formal logic; fuzzy set theory; BDI model; Lukasiewicz formal language; agent cognitive system; fuzzy logic system; fuzzy set theory; interval-valued agent belief model; Agriculture; Computer science; Forestry; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Laboratories; Mathematical model; Set theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.370
Filename :
4406364
Link To Document :
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