Abstract Dialectical Frameworks for Legal Reasoning

被引：15
作者：
Al-Abdulkarim, Latifa [1 ]
Atkinson, Katie [1 ]
Bench-Capon, Trevor [1 ]
机构：
[1] Univ Liverpool, Dept Comp Sci, Liverpool, Merseyside, England
来源：
LEGAL KNOWLEDGE AND INFORMATION SYSTEMS | 2014年 / 271卷
关键词：
case based reasoning; factors; argumentation frameworks;
D O I：
10.3233/978-1-61499-468-8-61
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent years a powerful generalisation of Dung's abstract argumentation frameworks, Abstract Dialectical Frameworks (ADF), has been developed. ADFs generalise the abstract argumentation frameworks introduced by Dung by replacing Dung's single acceptance condition (that all attackers be defeated) with acceptance conditions local to each particular node. Such local acceptance conditions allow structured argumentation to be straightforwardly incorporated. Related to ADFs are prioritised ADFs, which allow for reasons pro and con a node. In this paper we show how these structures provide an excellent framework for representing a leading approach to reasoning with legal cases.
引用
收藏
页码：61 / 70
页数：10
相关论文
共 20 条
  • [1] From Oral Hearing to Opinion in The US Supreme Court
    Al-Abdulkarim, Latifa
    Atkinson, Katie
    Bench-Capon, Trevor
    [J]. LEGAL KNOWLEDGE AND INFORMATION SYSTEMS, 2013, 259 : 1 - 10
  • [2] Aleven V, 1997, THESIS
  • [3] Amgoud L., 1998, Uncertainty in Artificial Intelligence. Proceedings of the Fourteenth Conference (1998), P1
  • [4] Ashley KD., 1990, Modelling legal argument: Reasoning with cases and hypotheticals
  • [5] Ashley Kevin., 2003, Proceedings of JURIX, V2003, P1
  • [6] Atkinson K, 2013, P 26 INT C LEG KNOWL, P39
  • [7] A model of legal reasoning with cases incorporating theories and values
    Bench-Capon, T
    Sartor, G
    [J]. ARTIFICIAL INTELLIGENCE, 2003, 150 (1-2) : 97 - 143
  • [8] Persuasion in practical argument using value-based argumentation frameworks
    Bench-Capon, TJM
    [J]. JOURNAL OF LOGIC AND COMPUTATION, 2003, 13 (03) : 429 - 448
  • [9] Bex FJ, 2011, LAW PHILOS LIBR, V92, P1, DOI 10.1007/978-94-007-0140-3
  • [10] BRANTING LK, 1991, THIRD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE & LAW, P145, DOI 10.1145/112646.112664
12