DocumentCode :
3317736
Title :
Distributed knowledge-base: adaptive multi-agents approach
Author :
Mertoguno, J. Sukamo ; Lin, Wei
Author_Institution :
Embedded Control Products, Fujitsu Microelectron. Inc., San Jose, CA, USA
fYear :
1996
fDate :
4-5 Nov 1996
Firstpage :
76
Lastpage :
83
Abstract :
This paper studies an approach of using multi-agents theory to construct an adaptive knowledge based system. To represent the knowledge, frame base (graph) knowledge representation has been chosen. The driving force of this study is the intention of having a distributed (possibly across the net) adaptive knowledge base. The challenge of developing an adaptive knowledge base depends on how to evolve the knowledge (adaptivity) and how to control the evolution (maintain the quality of the knowledge). In this paper the manifestation of both the issues discussed on our model is addressed
Keywords :
adaptive systems; cooperative systems; graph theory; knowledge based systems; knowledge representation; software agents; adaptive multi-agents system; distributed knowledge-base; frame base; graph knowledge representation; knowledge based system; natural system; Adaptive control; Adaptive systems; Genetic algorithms; Keyword search; Knowledge representation; Microelectronics; Programmable control; Protocols; Routing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence and Systems, 1996., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-7728-7
Type :
conf
DOI :
10.1109/IJSIS.1996.565054
Filename :
565054
Link To Document :
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