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- W166506977 abstract "This paper presents a summary of the responses of a panel to issues on AI and legal reasoning. The panel consisted of Edwina L. Rissland, Chair (University of Massachusetts), Kevin D. Ashley (University of Massachusetts), Michael O. Dyer (UCLA), Anne v.d.l. Gardner (Stanford), L. Thome McCarty (Rutgers), and Donald A. Waterman (RAND). Among the issues addressed by the panel were: 1. What are the characteristics of the legal domain that make it interesting or amenable to AI approaches - what is special about it; 2. The open-textured nature of legal concepts and the implications this has for using AI-techniques, especially knowledge representation; 3. The complementarity of rule-based and case-based reasoning - how cases are used, especially when the rules run out; 4. The pervasive role of analogy in legal reasoning; 5. The special role played by hypothetical in the legal domain and how hypos help with argumentation and strategic case planning; 6. The interleaving of justification, explanation, and argumentation; 7. How common law systems can be seen to be systems which learn from cases; 8. The appropriateness and feasibility of intelligent aids for practicing litigators and other legal experts; 9. Implications for other domains-like medicine - that use case-based reasoning; 10. Methodological and other issues.For each issue considered, the comments of the panelists are summarized." @default.
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- W166506977 title "AI and legal reasoning" @default.
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