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  1. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference.Judea Pearl - 1988 - Morgan Kaufmann.
    The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
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  • Vagueness.Delia Graff & Timothy Williamson (eds.) - 1994 - London and New York: Ashgate.
    If you’ve read the first five hundred pages of this book, you’ve read most of it (we assume that ‘most’ requires more than ‘more than half’). The set of natural numbers n such that the first n pages are most of this book is nonempty. Therefore, by the least number principle, it has a least member k. What is k? We do not know. We have no idea how to find out. The obstacle is something about the term ‘most’. It (...)
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  • (1 other version)Vagueness and ignorance.Timothy Williamson - 2010 - In Darragh Byrne & Max Kölbel (eds.), Arguing about language. New York: Routledge. pp. 145 - 177.
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  • Fuzzy Sets.Lofti A. Zadeh - 1965 - Information and Control 8 (1):338--53.
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  • (1 other version)Vagueness and Ignorance.Timothy Williamson & Peter Simons - 1992 - Aristotelian Society Supplementary Volume 66 (1):145-178.
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  • When vague sentences inform: A model of assertability.Alice Kyburg - 2000 - Synthese 124 (2):175-191.
    A speaker often decides whether or not to saysomething based on his assessment of the impact itwould have on his hearer's beliefs. If he thinks itwould bring them more in line with the truth, he saysit; otherwise he does not. In this paper, I developa model of these judgments, focusing specifically onthose of vague sentences. Under the simplifyingassumption that an utterance only conveys a speaker'sapplicability judgments, I present a Bayesian model ofan utterance's impact on a hearer's beliefs. Fromthis model I (...)
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  • A framework for linguistic modelling.Jonathan Lawry - 2004 - Artificial Intelligence 155 (1-2):1-39.
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  • (1 other version)Vague predicates and language games.Rohit Parikh - 1996 - Theoria 11 (3):97-107.
    Attempts to give a Logic or Semantics for vague predicates and to defuse the Sorites paradoxes have been largely a failure. We point out yet another problem with these predicates which has not been remarked on before,namely that different people do and must use these predicates in individually different ways. Thus even if there were a semantics for vague predicates, people would not be able to share it. To explain the occurrence nonetheless of these troublesome predicates in language, we propose (...)
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  • Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference by Judea Pearl. [REVIEW]Henry E. Kyburg - 1991 - Journal of Philosophy 88 (8):434-437.
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  • Vagueness and utility: The semantics of common nouns. [REVIEW]Rohit Parikh - 1994 - Linguistics and Philosophy 17 (6):521 - 535.
    A utility-based approach to the understanding of vague predicates (VPs) is proposed. It is argued that assignment of truth values to propositions containing VPs entails unjustifiable assumptions of consensus; two models of VP semantics are criticized on this basis: (1) the super-truth theory of Kit Fine (1975), which requires an unlikely consensus on base points; (2) the fuzzy logic of Lotfi Zadeh (1975), on fuzzy truth values of sentences. Pragmatism is held to provide a key: successful behavior justifies a person's (...)
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