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Law, learning and representation
Artificial Intelligence 150 (1-2):17-58 (2003)
Abstract
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Citations of this work
Analogical Arguments: Inferential Structures and Defeasibility Conditions.Fabrizio Macagno, Douglas Walton & Christopher Tindale - 2017 - Argumentation 31 (2):221-243.
Audiences in argumentation frameworks.Trevor J. M. Bench-Capon, Sylvie Doutre & Paul E. Dunne - 2007 - Artificial Intelligence 171 (1):42-71.
Argumentation Methods for Artificial Intelligence in Law.Douglas Walton - 2005 - Berlin and Heidelberg: Springer.
Argument based machine learning.Martin Možina, Jure Žabkar & Ivan Bratko - 2007 - Artificial Intelligence 171 (10-15):922-937.
On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games: 25 years later.Pietro Baroni, Francesca Toni & Bart Verheij - 2020 - Argument and Computation 11 (1-2):1-14.
References found in this work
A note on dimensions and factors.Edwina L. Rissland & Kevin D. Ashley - 2002 - Artificial Intelligence and Law 10 (1-3):65-77.
A note on dimensions and factors.Edwina Rissland, Kevin Ashley, Marc Lauritsen, Patricia Hassett, Jc Smith, John Zeleznikow, Andrew Stranieri, Dan Hunter & George Vossos - 2002 - Artificial Intelligence and Law 10 (1-3):65-77.
An AI model of case-based legal argument from a jurisprudential viewpoint.Kevin D. Ashley - 2002 - Artificial Intelligence and Law 10 (1-3):163-218.
Arguments and cases: An inevitable intertwining. [REVIEW]David B. Skalak & Edwina L. Rissland - 1992 - Artificial Intelligence and Law 1 (1):3-44.
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