Matthias Grabmair

University of Pittsburgh, Pittsburgh, Pennsylvania, United States

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Publications (6)0 Total impact

  • Matthias Grabmair, Kevin D. Ashley
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    ABSTRACT: This paper expands on the previously published value judgment formalism. The representation of situations is enhanced by introducing event progressions similar to actions in general AI planning. Using event progressions, situations can be assessed as to what facts they contain as well as what facts may ensue with some likelihood, thereby opening up a situation space. Purposive legal argumentation can be modeled using propositions and rules controlling the likelihoods of value-laden consequences. The paper expands the formalism to cover event progressions and illustrates the functionality using an example based on Young v. Hitchens.
    Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law; 06/2013
  • Matthias Grabmair, Kevin D. Ashley
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    ABSTRACT: This paper explains and illustrates in an example context how case comparison in legal case-based reasoning can be modeled in the value judgment formalism. It presents a set of argument schemes corresponding to typical moves in case-based reasoning which make use of intermediate legal concepts and their impact on the applicable values.
    The 13th International Conference on Artificial Intelligence and Law, Proceedings of the Conference, June 6-10, 2011, Pittsburgh, PA, USA; 01/2011
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    Matthias Grabmair, Thomas F. Gordon, Douglas Walton
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    ABSTRACT: This paper presents a technique with which instances of argument structures in the Carneades model can be given a probabilistic semantics by translating them into Bayesian networks. The propagation of argument applicability and statement acceptability can be expressed through conditional probability tables. This translation suggests a way to extend Carneades to improve its utility for decision support in the presence of uncertainty.
    Computational Models of Argument: Proceedings of COMMA 2010, Desenzano del Garda, Italy, September 8-10, 2010.; 01/2010
  • Matthias Grabmair, Kevin D. Ashley
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    ABSTRACT: This paper presents a formalism modeling legal reasoning with fact patterns and their substantive effects on legal values. It centers on the concept of a value judgment, i.e. a determination that one factual situation is preferable over another by virtue of their respective effects on values. This allows the modeling of legal sources as sets of value judgments and legal methodologies as collections of argumentation schemes. The paper briefly derives the formalism from legal theory and elaborates on its use in the context of an example of hypothetical reasoning.
    Legal Knowledge and Information Systems - JURIX 2010: The Twenty-Third Annual Conference on Legal Knowledge and Information Systems, Liverpool, UK, 16-17 December 2010; 01/2010
  • Matthias Grabmair, Kevin D. Ashley
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    ABSTRACT: This paper outlines a process model for disambiguating legal provisions in order to ease their formalization into logic. It centers around a reformulation of the provision driven by critical questioning and mandatory legal justifications.
    The 12th International Conference on Artificial Intelligence and Law, Proceedings of the Conference, June 8-12, 2009, Barcelona, Spain; 01/2009
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    Matthias Grabmair, Kevin D. Ashley
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    ABSTRACT: This short paper introduces the Interaction Predicate model, which attempts to model some aspects of systematic interpretation of codified law. It introduces an intermediate rule representation containing dynamic reasoning elements which make use of domain knowledge ontologies.
    Legal Knowledge and Information Systems - JURIX 2005: The Eighteenth Annual Conference on Legal Knowledge and Information Systems, Brussels, Belgium, 8-10 December 2005; 01/2005

Publication Stats

18 Citations

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Institutions

  • 2009–2013
    • University of Pittsburgh
      • Intelligent Systems
      Pittsburgh, Pennsylvania, United States