Distributed knowledge-base: Adaptive multi-agents approach

被引：1
|
作者：
Mertoguno, JS
Lin, W
机构：
来源：
IEEE INTERNATIONAL JOINT SYMPOSIA ON INTELLIGENCE AND SYSTEMS, PROCEEDINGS | 1996年
关键词：
adaptive knowledgebase; Multi-Agents system; natural system; frame base; graph knowledge representation;
D O I：
10.1109/IJSIS.1996.565054
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper studies an approach of using Multi-agents theory to construct an adaptive knowledge base 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 lays 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 of the issues above on our model will be addressed.
引用
收藏
页码：76 / 83
页数：8
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