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This paper modeled the policy system by mining policy lineage, it formalized a huge number of policies into policy lineage networks. On this basis, it constructed a PCL model, and determined the capacity definition of nodes in the model by machine learning to realize brittle points mining in policy network. By mining the related concepts among policies, this paper formalized the policy system into a policy pedigree tree model, and then tree-shadow attraction occured between the nodes of the policy pedigree tree. Finally, it formed a policy lineage network based on policy lineage relationship. It constructed the PCR L model by evolution mechanism of policy lineage network. It trained the capacity parameters and mined the evolution mechanism. The experimental results show the method is effective. [ABSTRACT FROM AUTHOR]