David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
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Artificial Intelligence and Law 3 (3):159-189 (1995)
We discuss five kinds of representations of rationales and provide a formal account of how they can alter disputation. The formal model of disputation is derived from recent work in argument. The five kinds of rationales are compilation rationales, which can be represented without assuming domain-knowledge (such as utilities) beyond that normally required for argument. The principal thesis is that such rationales can be analyzed in a framework of argument not too different from what AI already has. The result is a formal understanding of rationales, a partial taxonomy, and a foundation for computer programs that represent and reason with rationales.The five kinds of rationales are as follows: (c)ompression and (s)pecialization, which yield rules, and (d)isputation, which yields a decision. These are modeled as potentially changing the focus of the dispute. Then there are (f)it, a rationale for rules, and (r)esolution, a rationale for decisions. These cannot be modeled as simply; they force disputation to a meta-level, at least temporarily.
|Keywords||rationale ratio legis ratio decidendi principle purpose dialectic procedure argument rule policy backing defeasible reasoning case-based reasoning logic|
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References found in this work BETA
Stephen E. Toulmin (2003). The Uses of Argument. Monograph Collection (Matt - Pseudo).
Ronald Dworkin (1987). A Matter of Principle. Journal of Philosophy 84 (5):284-291.
Nicholas Rescher (1977). Dialectics: A Controversy-Oriented Approach to the Theory of Knowledge. State University of New York Press.
Frederick F. Schauer (1991). Playing by the Rules: A Philosophical Examination of Rule-Based Decision-Making in Law and in Life. Oxford University Press.
Citations of this work BETA
Henry Prakken (2005). AI & Law, Logic and Argument Schemes. Argumentation 19 (3):303-320.
Henry Prakken & Giovanni Sartor (1997). Argument-Based Extended Logic Programming with Defeasible Priorities. Journal of Applied Non-Classical Logics 7 (1-2):25-75.
Trevor Bench-Capon & Henry Prakken (2010). Using Argument Schemes for Hypothetical Reasoning in Law. Artificial Intelligence and Law 18 (2):153-174.
H. Prakken & G. Sartor (1996). A Dialectical Model of Assessing Conflicting Arguments in Legal Reasoning. Artificial Intelligence and Law 4 (3-4):331-368.
John F. Horty & Trevor J. M. Bench-Capon (2012). A Factor-Based Definition of Precedential Constraint. Artificial Intelligence and Law 20 (2):181-214.
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