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分布式知识库系统中推理的二级分解分布策略
Two-step Decomposition and Distribution Strategy of Inference in DKBS
【摘要】 在分布式知识库系统DKBS中,推理任务的分解与分布具有一定的领域依赖性,而且依赖于DKBS的体系结构。本文通过对具有自然功能分布特征的领域中任务的分解、分布问题的分析,提出一适合该类领域的DKBS体系结构,并在此基础上提出一基于推理的推理任务二级分解分布策略.
【Abstract】 In a Distributed knowledge Base System (DKBS), the decomposition and distribution of the inference rely on not only the domain to some extent, but also the DKBS architecture. In this paper, the problem of the inference decomposition and distribution is analysed, which is fit for the domain with natural functional distribution, and a DKBS architecture. is presented, which is fit for this kind of domain. Furthermore, a two-step decomposition and distribution strategy of inference based on reasoning is presented.
【关键词】 分布式知识库;
分布式推理;
人工智能;
知识工程;
【Key words】 DKBS; distributed inference; Al; knowledge engineering;
【Key words】 DKBS; distributed inference; Al; knowledge engineering;
【基金】 哈尔滨科学技术大学青年科学研究基金
- 【文献出处】 哈尔滨电工学院学报 , 编辑部邮箱 ,1996年04期
- 【分类号】TP311.13
- 【下载频次】42