文献类型：期刊文献

中文题名：基于法计算学理论的人工智能辅助决策算法研究

英文题名：Research on artificial intelligence assisted decision-making algorithms for lawyers based on legal-computing theory

作者：陈亮[1,2];郭佳雯[3];武建功[2];王占全[4];史令[4]

机构：[1]同济大学上海国际知识产权学院,上海200092;[2]华东理工大学法学院,上海200237;[3]上海交通大学中英国际低碳学院,上海201306;[4]华东理工大学信息科学与工程学院,上海200237

年份：2019

期号：5

起止页码：85

中文期刊名：华东师范大学学报（自然科学版）

外文期刊名：Journal of East China Normal University(Natural Science)

收录：CSTPCD;;北大核心:【北大核心2017】；CSCD:【CSCD_E2019_2020】；

基金：2018年华为技术有限公司—教育部产学合作协同育人项目(201802001048)

语种：中文

中文关键词：法律人工智能;法计算学;朴素贝叶斯;C4.5决策树

外文关键词：legal artificial intelligence;legal-computing;Naive Bayes;C4.5 decision tree

摘要：针对法学理论和法律实践中缺乏智能决策的问题,综合考虑该领域内的业务数据特征,采用多种数据分析模型进行智能决策算法的研究.法计算学理论以法律关系的数据化智能驱动为核心,在作为法律研究与应用本体的法律关系与计算机科学领域内的数据特征属性之间建立联系,提出了"涵摄分类"概念,并对决策树、朴素贝叶斯等算法进行法律场景下的改进,建立了法律关系坐标系,实现法律关系分析的空间几何转化,最后提出了智能化的辅助决策平台.实验结果表明,该辅助决策与真实律师的办案策略与结果高度吻合,具有辅助律师决策的可行性和有效性.
At present,there is a lack of intelligent decision-making tools applied to legal theory and practice.Given the characteristics of data in this field,we establish an intelligent decision-making algorithm using a variety of data analysis models.Legal-computing is focused on data-based mechanization of legal reasoning.It establishes a relationship between legal research and applications using the characteristics and data features of computer science.On this basis,the method of “implication classification” is formed,the decision tree and Naive Bayes algorithms are improved for application to the legal arena,and a coordinate system of legal relationships is established to transfer traditional legal relationship analysis into a spatial geometric system.Experimental results show that the algorithm is consistent with a lawyer’s handling strategy and results,and has the feasibility of assisting lawyers more broadly in decision-making.