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  1. Hyperintensionality and Normativity.Federico L. G. Faroldi - 2019 - Cham, Switzerland: Springer Verlag.
    Presenting the first comprehensive, in-depth study of hyperintensionality, this book equips readers with the basic tools needed to appreciate some of current and future debates in the philosophy of language, semantics, and metaphysics. After introducing and explaining the major approaches to hyperintensionality found in the literature, the book tackles its systematic connections to normativity and offers some contributions to the current debates. The book offers undergraduate and graduate students an essential introduction to the topic, while also helping professionals in related (...)
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  • A methodology for designing systems to reason with legal cases using Abstract Dialectical Frameworks.Latifa Al-Abdulkarim, Katie Atkinson & Trevor Bench-Capon - 2016 - Artificial Intelligence and Law 24 (1):1-49.
    This paper presents a methodology to design and implement programs intended to decide cases, described as sets of factors, according to a theory of a particular domain based on a set of precedent cases relating to that domain. We useDialectical Frameworks, a recent development in AI knowledge representation, as the central feature of our design method. ADFs will play a role akin to that played by Entity–Relationship models in the design of database systems. First, we explain how the factor hierarchy (...)
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  • Stratification of normative systems with intermediaries.Lars Lindahl & Jan Odelstad - 2011 - Journal of Applied Logic 9 (2):113-136.
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  • Explainable AI tools for legal reasoning about cases: A study on the European Court of Human Rights.Joe Collenette, Katie Atkinson & Trevor Bench-Capon - 2023 - Artificial Intelligence 317 (C):103861.
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  • A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. [REVIEW]Trevor Bench-Capon, Michał Araszkiewicz, Kevin Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Daniele Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori, Jochen L. Leidner, David D. Lewis, Ronald P. Loui, L. Thorne McCarty, Henry Prakken, Frank Schilder, Erich Schweighofer, Paul Thompson, Alex Tyrrell, Bart Verheij, Douglas N. Walton & Adam Z. Wyner - 2012 - Artificial Intelligence and Law 20 (3):215-319.
    We provide a retrospective of 25 years of the International Conference on AI and Law, which was first held in 1987. Fifty papers have been selected from the thirteen conferences and each of them is described in a short subsection individually written by one of the 24 authors. These subsections attempt to place the paper discussed in the context of the development of AI and Law, while often offering some personal reactions and reflections. As a whole, the subsections build into (...)
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  • Some Myth about Realism.Thomas Mautner - 2010 - Ratio Juris 23 (3):411-427.
    This paper discusses the place of philosophical naturalism in the philosophy of law, with special reference to Scandinavian Realism. Hägerström originated a non-cognitivist analysis of certain fundamental legal concepts, but he also proposed an error theory. The two approaches are incompatible, but were not always clearly distinguished. Among his followers, Olivecrona and Ross gradually abandoned the latter, at least from the late 1940s. Many accounts of their views are unclear, because the presence of these two kinds of analysis, their incompatibility, (...)
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  • HYPO's legacy: introduction to the virtual special issue.T. J. M. Bench-Capon - 2017 - Artificial Intelligence and Law 25 (2):205-250.
    This paper is an introduction to a virtual special issue of AI and Law exploring the legacy of the influential HYPO system of Rissland and Ashley. The papers included are: Arguments and cases: An inevitable intertwining, BankXX: Supporting legal arguments through heuristic retrieval, Modelling reasoning with precedents in a formal dialogue Game, A note on dimensions and factors, An empirical investigation of reasoning with legal cases through theory construction and application, Automatically classifying case texts and predicting outcomes, A factor-based definition (...)
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