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Case-Based Models of Legal Reasoning in a Civil Law Context
 

Summary: Case-Based Models of Legal Reasoning
in a Civil Law Context
Kevin D. Ashley
Professor of Law and Intelligent Systems
University of Pittsburgh School of Law
Ashley@pitt.edu
1.0 Introduction
Researchers in Artificial Intelligence and Law (AI & Law) have developed
a number of computational models of case-based legal reasoning. For example,
see Hypo (Ashley, 1987; 1990), CABARET (Rissland & Skalak, 1991), GREBE
(Branting, 1991; 1999), CATO (Aleven, 1997; 2003), BankXX (Rissland, Skalak,
et al. 1996), and Split-Up (Zeleznikow, Stranieri, et al., 1995-1996). The models
have originated in common law jurisdictions, often by lawyers/computer scientists
influenced by common law legal practice and traditions. More recently, some of
the case-based models have been developed by researchers in countries with
more or less civil law traditions (Prakken & Sartor, 1997; Bench-Capon & Sartor,
2001).
The latter developments beg the question of whether AI & Law models of
case-based legal reasoning are relevant in civil law jurisdictions. This paper
addresses that and some related questions: To what extent is reasoning with

  

Source: Ashley, Kevin D. - Learning Research and Development Center, University of Pittsburgh

 

Collections: Computer Technologies and Information Sciences