Argument in Artificial Intelligence and Law

被引:30
作者
Bench-Capon T. [1 ]
机构
[1] Department of Computer Science, University of Liverpool, Liverpool L69 3BX
关键词
AI and law; Argument; Dialogue games; Explanation; Non-monotonic reasoning;
D O I
10.1023/A:1008242417011
中图分类号
学科分类号
摘要
In this paper I shall discuss the notion of argument, and the importance of argument in AI and Law. I shall distinguish four areas where argument has been applied: in modelling legal reasoning based on cases; in the presentation and explanation of results from a rule based legal information system; in the resolution of normative conflict and problems of non-monotonicity; and as a basis for dialogue games to support the modelling of the process of argument. The study of argument is held to offer prospects of real progress in the field of AI and law, and the purpose of this paper is to provide an overview of work, and the connection between the various strands.
引用
收藏
页码:249 / 261
页数:12
相关论文
共 28 条
[1]  
Ashley K.D., Modeling Legal Argument, (1990)
[2]  
Bench-Capon T.J.M., Legal Theory and Legal KBS: A Computer Scientist's Perspective, Legal Knowledge Based Systems: The Relation with Legal Theory (JURIX 1994), pp. 33-42, (1994)
[3]  
Bench-Capon T.J.M., Argument in AI and Law, Legal Knowledge Based Systems: Telecommunication and AI and Law, pp. 5-14, (1995)
[4]  
Bench-Capon T.J.M., Sergot M.J., Towards a Rule Based Representation of Open Texture in Law, Computing Power and Legal Reasoning, pp. 39-60, (1989)
[5]  
Bench-Capon T.J.M., Lowes D., McEnery A.M., Using Toulmin's Argument Schema to Explain Logic Programs, Knowledge Based Systems, 4, 3, pp. 177-183, (1991)
[6]  
Bench-Capon T.J.M., Dunne P.E., Leng P.H., A Dialogue Game for Dialectical Interaction with Expert Systems, 12th Annual Conference on Expert Systems and Their Applications, pp. 105-116, (1992)
[7]  
Brewka G., Gordon T.F., How to Buy a Porsche: An Approach to Defeasible Decision Making, Proceedings of the AAAI-94 Workshop on Computational Dialectics, pp. 28-38, (1994)
[8]  
Dick J.P., A Conceptual Case Relation Representation of Text for Intelligent Retrieval, (1992)
[9]  
Doyle J., Wellman M.P., Impediments to Universal Preference Based Default Theories, Artificial Intelligence, 49, pp. 97-128, (1991)
[10]  
Farley A.M., Freeman K., Proceedings of the Fifth International Conference on AI and Law, pp. 156-164, (1995)