Title
A Multi-Agent Cooperative Reasoning System for Amalgamated Knowledge Bases
Abstract
We propose a multi-agent cooperative reasoning system for amalgamated knowledge bases. A multi-agent cooperation environment, where inconsistency is allowed, can be presented by an amalgamated knowledge base. Our reasoning method is an extension of the magic sets technique [2] for amalgamated knowledge bases, augmented with the capabilities of handling amalgamated atoms. Through rewriting a given amalgamated knowledge base, our method offers the advantages associated with top-down as well as bottom-up evaluation. Especially, our reasoning method makes unnecessary the expensive reductant rules of inference introduced in [5], and the translation of a given amalgamated knowledge base into its regular representation as in [1]. We consider how to make the bottom-up computation for amalgamated atoms, describe the extended magic sets translation rules, and discuss some related problems.
Year
DOI
Venue
1996
10.1007/BFb0030084
DAI
Keywords
Field
DocType
amalgamated knowledge bases,amalga- mated knowledge bases,inconsistency,reasoning system,magic sets,multi-agent cooperation,multi-agent cooperative reasoning system,knowledge base,top down,bottom up
Regular representation,Artificial intelligence,Rewriting,Knowledge base,Reasoning system,Rule of inference,Mathematics,Computation,Magic sets
Conference
Volume
ISSN
ISBN
1286
0302-9743
3-540-63412-6
Citations 
PageRank 
References 
0
0.34
6
Authors
6
Name
Order
Citations
PageRank
Lifeng He144140.97
Yuyan Chao231524.07
Shohei Kato317039.56
Tetsuo Araki474.01
Hirohisa Seki527652.30
Hidenori Itoh6368252.31