一种用于状态空间问题求解的隐含知识发现机制的研究

A Study on Implicit Knowledge Discovery for Solving State Space Problems

在对状态空间的问题求解知识进行归纳总结的基础上 ,建立了将复杂问题分解成典型问题及其求解的机制。主要措施是 :利用一类隐含规则的产生机制 ,来降低问题的求解难度 ;把复杂问题分解成若干典型问题来加以解决 ,避免大范围匹配 -回溯。

Based on summarization of solving state space problems, the author establishs mechanism of decomposing problems into typical subproblems and solving them. The major features of this mechanism are advantages of generating mechanism of implicit rules to ease difficulty in solving complex problems and decomposing complex problems into typical subproblems to avoid Match Retrieve of large scope.