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  1. The Pleadings Games: An Artificial Intelligence Model of Procedural Justice.Thomas F. Gordon - 1995 - Springer.
    The Pleadings Game is a major contribution to artificial intelligence and legal theory. The book draws on jurisprudence and moral philosophy to develop a formal model of argumentation called the pleadings game. From a technical perspective, the work can be viewed as an extension of recent argumentation-based approaches to non-monotonic logic: (1) the game is dialogical rather than mono-logical; (2) the validity and priority of defeasible rules is subject to debate; and (3) resource limitations are acknowledged by rules for fairly (...)
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  • Arguments and cases: An inevitable intertwining. [REVIEW]David B. Skalak & Edwina L. Rissland - 1992 - Artificial Intelligence and Law 1 (1):3-44.
    We discuss several aspects of legal arguments, primarily arguments about the meaning of statutes. First, we discuss how the requirements of argument guide the specification and selection of supporting cases and how an existing case base influences argument formation. Second, we present,our evolving taxonomy of patterns of actual legal argument. This taxonomy builds upon our much earlier work on argument moves and also on our more recent analysis of how cases are used to support arguments for the interpretation of legal (...)
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  • The pleadings game.Thomas F. Gordon - 1993 - Artificial Intelligence and Law 2 (4):239-292.
    The Pleadings Game is a normative formalization and computational model of civil pleading, founded in Roberty Alexy''s discourse theory of legal argumentation. The consequences of arguments and counterarguments are modelled using Geffner and Pearl''s nonmonotonic logic,conditional entailment. Discourse in focussed using the concepts of issue and relevance. Conflicts between arguments can be resolved by arguing about the validity and priority of rules, at any level. The computational model is fully implemented and has been tested using examples from Article Nine of (...)
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  • On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.Phan Minh Dung - 1995 - Artificial Intelligence 77 (2):321-357.
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  • (1 other version)Practical reason and norms.Joseph Raz - 1975 - London: Hutchinson.
    Practical Reason and Norms focuses on three problems: In what way are rules normative, and how do they differ from ordinary reasons? What makes normative systems systematic? What distinguishes legal systems, and in what consists their normativity? All three questions are answered by taking reasons as the basic normative concept, and showing the distinctive role reasons have in every case, thus paving the way to a unified account of normativity. Rules are a structure of reasons to perform the required act (...)
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  • Dialectics: a controversy-oriented approach to the theory of knowledge.Nicholas Rescher - 1977 - Albany: State University of New York Press.
    tational background of dialectic: the structure of formal disputation. Formal disputation Perhaps the clearest, and surely historically the most prominent, ...
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  • Hard cases: A procedural approach. [REVIEW]Jaap C. Hage, Ronald Leenes & Arno R. Lodder - 1993 - Artificial Intelligence and Law 2 (2):113-167.
    Much work on legal knowledge systems treats legal reasoning as arguments that lead from a description of the law and the facts of a case, to the legal conclusion for the case. The reasoning steps of the inference engine parallel the logical steps by means of which the legal conclusion is derived from the factual and legal premises. In short, the relation between the input and the output of a legal inference engine is a logical one. The truth of the (...)
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  • Logical Tools for Modelling Legal Argument: A Study of Defeasible Reasoning in Law.Henry Prakken - 1993 - Dordrecht, Netherland: Springer.
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  • A mathematical treatment of defeasible reasoning and its implementation.Guillermo R. Simari & Ronald P. Loui - 1992 - Artificial Intelligence 53 (2-3):125-157.
    We present a mathematical approach to defeasible reasoning based on arguments. This approach integrates the notion of specificity introduced by Poole and the theory of warrant presented by Pollock. The main contribution of this paper is a precise, well-defined system which exhibits correct behavior when applied to the benchmark examples in the literature. It aims for usability rather than novelty. We prove that an order relation can be introduced among equivalence classes of arguments under the equi-specificity relation. We also prove (...)
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  • (1 other version)Dialectics: A Controversy-Oriented Approach to the Theory of Knowledge.Nicholas Rescher - 1977 - Philosophy and Rhetoric 12 (4):271-273.
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  • A Formal Model of Legal Argumentation.Giovanni Sartor - 1994 - Ratio Juris 7 (2):177-211.
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  • A sceptical theory of inheritance in nonmonotonic semantic networks.John F. Horty, Richmond H. Thomason & David S. Touretzky - 1990 - Artificial Intelligence 42 (2-3):311-348.
    inheritance reasoning in semantic networks allowing for multiple inheritance with exceptions. The approach leads to a definition of iaheritance that is..
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  • International Symposium on “Structures in Mathematical Theories”, del Departamento de Lógica y Filosofía de la Ciencia de la UPV.Lorenzo PeÑa - 1988 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 4 (1):307-307.
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  • How to reason defeasibly.John L. Pollock - 1992 - Artificial Intelligence 57 (1):1-42.
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  • Argument-based extended logic programming with defeasible priorities.Henry Prakken & Giovanni Sartor - 1997 - Journal of Applied Non-Classical Logics 7 (1-2):25-75.
    ABSTRACT Inspired by legal reasoning, this paper presents a semantics and proof theory of a system for defeasible argumentation. Arguments are expressed in a logic-programming language with both weak and strong negation, conflicts between arguments are decided with the help of priorities on the rules. An important feature of the system is that these priorities are not fixed, but are themselves defeasibly derived as conclusions within the system. Thus debates on the choice between conflicting arguments can also be modelled. The (...)
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  • Rationales and argument moves.R. P. Loui & Jeff Norman - 1995 - Artificial Intelligence and Law 3 (3):159-189.
    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 (...)
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  • Practical Reason and Norms.C. H. Whiteley - 1976 - Philosophical Quarterly 26 (104):287-288.
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  • Conditional entailment: Bridging two approaches to default reasoning.Hector Geffner & Judea Pearl - 1992 - Artificial Intelligence 53 (2-3):209-244.
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  • Practical Reason and Norms.Joseph Raz - 1975 - Law and Philosophy 12 (3):329-343.
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