A hybrid model for sharing information between fuzzy, uncertain and default reasoning models in multi-agent systems
OA Location
Author(s)
Luo, X
Zhang, C
Jennings, NR
Type
Journal Article
Abstract
This paper develops a hybrid model which provides a unified framework for the following four kinds of reasoning: 1)Zadeh’s fuzzy approximate reasoning; 2) Truth qualification uncertain reasoning with respect to fuzzy propositions; 3)fuzzy default reasoning (proposed, in this paper, as an extension of Reiter’s default reasoning); and 4)truth- qualification uncertain default reasoning associated with fuzzy statements (developed in this paper to enrich fuzzy default reasoning with uncertain information). Our hybrid model has the following characteristics: 1) basic uncertainty is estimated in terms of words or phrases in natural language and basic propositions are fuzzy; 2) uncertainty, linguistically expressed, can be handled in default reasoning; and 3) the four kinds of reasoning models mentioned above and their combination models will be the special cases of our hybrid model. Moreover, our model allows the reasoning to be performed in the case in which the information is fuzzy, uncertain and partial. More importantly, the problems of sharing the information among heterogenous fuzzy, uncertain and default reasoning models can be solved efficiently by using our model. Given this, our framework can be used as a basis for information sharing and exchange in knowledge-based multi-agent systems for practical applications such as automated group negotiations. Actually, to build such a foundation is the motivation of this paper.
Date Issued
2002-08-31
Date Acceptance
2002-08-01
Citation
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2002, 10 (4), pp.401-450
ISSN
0218-4885
Publisher
World Scientific Publishing
Start Page
401
End Page
450
Journal / Book Title
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Volume
10
Issue
4
Copyright Statement
© 2002 World Scientific Publishing
Identifier
http://eprints.soton.ac.uk/256876/
Subjects
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
fuzzy reasoning
uncertain reasoning
default reasoning
linguistic truth
expert system
knowledge-based system
agent
automated negotiation
KNOWLEDGE
AGENTS
ARCHITECTURE
TRANSFORMATION
COMMUNICATION
PROBABILITY
NEGOTIATION
COOPERATION
MANAGEMENT
FRAMEWORK
Artificial Intelligence & Image Processing
0801 Artificial Intelligence And Image Processing
Publication Status
Published