法律专家制度:基于规则的方法的不足

James Popple
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引用次数: 18

摘要

描述了法律人工智能系统的两种不同类别,并选择了法律分析系统作为研究对象。讨论了所谓的判断机器,但决定在法律专家系统领域最好进行法律人工智能系统的研究。采用了一个法律推理模型,并研究了两种不同的法律知识表示方法:基于规则的系统和基于案例的系统。有人认为,鉴于律师的要求和关于案件的法律推理的性质,对法律专家制度采取基于规则的办法是不够的。提出了一种新的折衷方法,将基于规则的知识表示和基于案例的知识表示结合起来。据称,这种方法可以构成有效和有用的法律专家制度的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Legal Expert Systems: The Inadequacy of a Rule-Based Approach
The two different categories of legal AI system are described, and legal analysis systems are chosen as objects of study. So-called judgment machines are discussed, but it is decided that research in legal AI systems would be best carried-out in the area of legal expert systems. A model of legal reasoning is adopted, and two different methods of legal knowledge representation are examined: rule-based systems and case-based systems. It is argued that a rule-based approach to legal expert systems is inadequate given the requirements of lawyers and the nature of legal reasoning about cases. A new, eclectic approach is proposed, incorporating both rule-based and case-based knowledge representation. It is claimed that such an approach can form the basis of an effective and useful legal expert system.
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