Recursive learning method for knowledge-based planning system

Y. Ikkai

doi:10.1007/BF00123918

Recursive learning method for knowledge-based planning system

1996-10-01

0

PRE

AI

DOI：10.1007/BF00123918

原文链接

原文求助

摘要

En 中文

In the status selection planning system, which is a kind of knowledge-based planning system, the quality of the solution depends on the status selection rules. However, it is usually difficult to acquire useful knowledge from human experts. The learning method of a status selection rule using inductive learning is proposed. The status selection rules are divided into several stages according to the planning process. Gathering a training set and learning a part of the knowledge inductively are repeated one by one from the previous stage rules. From the result of application to a job-shop problem, the effectiveness of the proposed method is shown.

Keyword:

knowledge-based planning system

knowledge acquisition

job-shop problem

Recursive learning method for knowledge-based planning system

摘要

AI总结

期刊

机构

引用论文