AIPL: The Theoretical Framework of Artificial Intelligence for Proportional Liability in China from Data Mining Perspectives

Theoretical framework of artificial intelligence for proportional liability in China from a data mining perspective is designed in this paper. From the technological perspective, the novelty of the paper is focused on 2 aspects. (1) When traditional artificial intelligence solves the problem of human cognition, it understands human cognition into precise computer information language, we build the intelligent model for data analysis. (2) In the process of the knowledge acquisition, networked structure remains more suitable for basic properties of fragmented knowledge, we enhanced the network topology for the general design. Besides the theoretical analysis, the applications are also analyzed.