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