分布式知识库:自适应多智能体方法

J. S. Mertoguno
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引用次数: 7

摘要

本文研究了一种利用多智能体理论构建自适应知识系统的方法。为了表示知识,选择了框架基(图)知识表示。这项研究的驱动力是建立一个分布式的(可能是跨网络的)自适应知识库。开发自适应知识库的挑战在于如何进化知识(适应性)和如何控制进化(保持知识的质量)。本文讨论了这两个问题在我们模型上的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed knowledge-base: adaptive multi-agents approach
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.
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