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  1. Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
    Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.
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  • Legal ontologies in knowledge engineering and information management.Joost Breuker, André Valente & Radboud Winkels - 2004 - Artificial Intelligence and Law 12 (4):241-277.
    In this article we describe two core ontologies of law that specify knowledge that is common to all domains of law. The first one, FOLaw describes and explains dependencies between types of knowledge in legal reasoning; the second one, LRI-Core ontology, captures the main concepts in legal information processing. Although FOLaw has shown to be of high practical value in various applied European ICT projects, its reuse is rather limited as it is rather concerned with the structure of legal reasoning (...)
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  • The Second Naive Physics Manifesto.P. J. Hayes - 1985 - In Jerry R. Hobbs & Robert C. Moore (eds.), Formal Theories of the Commonsense World. Greenwood.
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  • Using Language.Herbert H. Clark - 1996 - Cambridge University Press.
    Herbert Clark argues that language use is more than the sum of a speaker speaking and a listener listening. It is the joint action that emerges when speakers and listeners, writers and readers perform their individual actions in coordination, as ensembles. In contrast to work within the cognitive sciences, which has seen language use as an individual process, and to work within the social sciences, which has seen it as a social process, the author argues strongly that language use embodies (...)
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  • An ontology of physical causation as a basis for assessing causation in fact and attributing legal responsibility.Jos Lehmann & Aldo Gangemi - 2007 - Artificial Intelligence and Law 15 (3):301-321.
    Computational machineries dedicated to the attribution of legal responsibility should be based on (or, make use of) a stack of definitions relating the notion of legal responsibility to a number of suitably chosen causal notions. This paper presents a general analysis of legal responsibility and of causation in fact based on Hart and Honoré’s work. Some physical aspects of causation in fact are then treated within the “lite” version of DOLCE foundational ontology written in OWL-DL, a standard description logic for (...)
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  • Qualitative process theory.Kenneth D. Forbus - 1984 - Artificial Intelligence 24 (1-3):85-168.
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  • Formal Theories of the Commonsense World.Jerry R. Hobbs & Robert C. Moore (eds.) - 1985 - Greenwood.
    This volume is a collection of original contributions about the core knowledge in fundamental domains. It includes work on naive physics, such as formal specifications of intuitive theories of spatial relations, time causality, substance and physical objects, and on naive psychology.
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  • Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - Tijdschrift Voor Filosofie 64 (1):201-202.
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  • Epistemology and ontology in core ontologies: FOLaw and LRI-Core, two core ontologies for law.J. A. P. J. Breukers & R. J. Hoekstra - unknown
    For more than a decade constructing ontologies for legal domains, we, at the Leibniz Center for Law, felt really the need to develop a core ontology for law that would enable us to re-use the common denominator of the various legal domains. In this paper we present two core ontologies for law. The first one was the result of a PhD thesis by [Valente, 1995], called FOLaw. FOLaw speci- fies functional dependencies between types of knowledge involved in legal reasoning. Despite (...)
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