DocumentCode :
3024210
Title :
A Quantitative Method for Reasoning about Knowledge
Author :
Lan, Qian ; Ma, Teng
Author_Institution :
Sch. of Eng., Lanzhou Univ. of Technol., Lanzhou, China
Volume :
4
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
85
Lastpage :
88
Abstract :
It is important to reason about the possibility of certain events as well as the knowledge of agents in many of application areas for reasoning about knowledge. This paper proposes the concept of belief degree of an agent with respect to a fact. Moreover, based on the belief degree of agent, the similarity degree between agent ´s graded knowledge and a pseudo metric on the set of agent ´s graded knowledge are established, which makes it possible for agent to develop approximate reasoning by using its graded knowledge and provides a quantitative framework for reasoning about knowledge.
Keywords :
inference mechanisms; software agents; agent belief degree concept; agent knowledge; approximate reasoning; similarity degree; Application software; Artificial intelligence; Computational intelligence; Distributed computing; Education; Knowledge engineering; Logic; Military computing; Probability; Uncertainty; Belief degree; Graded knowledge; Reasoning about knowledge;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.317
Filename :
5376425
Link To Document :
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