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Jeffrey Paris

University of Manchester
  •  Home
  •  Publications
    70
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  •  Events
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 More details
  • University of Manchester
    Regular Faculty
Areas of Interest
Logic and Philosophy of Logic
Philosophy of Probability
  • All publications (70)
  •  130
    A note on the undefinability of cuts
    with C. Dimitracopoulos
    Journal of Symbolic Logic 48 (3): 564-569. 1983.
    Logic and Philosophy of LogicProof Theory
  •  106
    The theory of spectrum exchangeability
    with E. Howarth
    Review of Symbolic Logic 8 (1): 108-130. 2015.
    Spectrum Exchangeability, Sx, is an irrelevance principle of Pure Inductive Logic, and arguably the most natural extension of Atom Exchangeability to polyadic languages. It has been shown1that all probability functions which satisfy Sx are comprised of a mixture of two essential types of probability functions; heterogeneous and homogeneous functions. We determine the theory of Spectrum Exchangeability, which for a fixed languageLis the set of sentences ofLwhich must be assigned probability 1 by …Read more
    Spectrum Exchangeability, Sx, is an irrelevance principle of Pure Inductive Logic, and arguably the most natural extension of Atom Exchangeability to polyadic languages. It has been shown1that all probability functions which satisfy Sx are comprised of a mixture of two essential types of probability functions; heterogeneous and homogeneous functions. We determine the theory of Spectrum Exchangeability, which for a fixed languageLis the set of sentences ofLwhich must be assigned probability 1 by every probability function satisfying Sx, by examining separately the theories of heterogeneity and homogeneity. We find that the theory of Sx is equal to the theory of finite structures, i.e., those sentences true in all finite structures forL, and it emerges that Sx is inconsistent with the principle of Super-Regularity. As a further consequence we are able to characterize those probability functions which satisfy Sx and the Finite Values Property.
    Probabilistic Principles, MiscSubjective Probability, MiscInductive LogicLogical Probability
  •  207
    European summer meeting of the Association for Symbolic Logic, Manchester, England, 1984
    with P. Aczel, A. J. Wilkie, G. M. Wilmers, and C. E. M. Yates
    Journal of Symbolic Logic 51 (2): 480-502. 1986.
    Logic and Philosophy of LogicLogic and Philosophy of Logic, Misc
  •  533
    ZF ⊦ Σ4 0 determinateness
    Journal of Symbolic Logic 37 (4): 661-667. 1972.
    Logic and Philosophy of Logic, Miscellaneous
  •  14
    Principles of Remembering and Forgetting
    with E. Howarth
    Logique Et Analyse 57 (228): 489-511. 2014.
    We propose two principles of inductive reasoning related to how observed information is handled by conditioning, and justify why they may be said to represent aspects of rational reasoning. A partial classification is given of the probability functions which satisfy these principles.
    Subjective Probability, MiscProbabilistic Principles, MiscLogical ProbabilityInductive Logic
  •  45
    Measure and minimal degrees
    Annals of Mathematical Logic 11 (2): 203-216. 1977.
    Formal EpistemologyLogic and Philosophy of Logic
  •  202
    A Note on Binary Inductive Logic
    with C. J. Nix
    Journal of Philosophical Logic 36 (6): 735-771. 2007.
    We consider the problem of induction over languages containing binary relations and outline a way of interpreting and constructing a class of probability functions on the sentences of such a language. Some principles of inductive reasoning satisfied by these probability functions are discussed, leading in turn to a representation theorem for a more general class of probability functions satisfying these principles.
    Logic and Philosophy of LogicInductive Logic
  •  183
    Some observations on induction in predicate probabilistic reasoning
    with M. J. Hill and G. M. Wilmers
    Journal of Philosophical Logic 31 (1): 43-75. 2002.
    We consider the desirability, or otherwise, of various forms of induction in the light of certain principles and inductive methods within predicate uncertain reasoning. Our general conclusion is that there remain conflicts within the area whose resolution will require a deeper understanding of the fundamental relationship between individuals and properties
    Prior ProbabilitiesIndifference PrinciplesEpistemic Logic
  •  1175
    Ancient Indian Logic and Analogy
    with A. Vencovska
    In S. Ghosh & S. Prasad (eds.), Logic and its Applications, Lecture Notes in Computer Science 10119, Springer. pp. 198-210. 2017.
    B.K.Matilal, and earlier J.F.Staal, have suggested a reading of the `Nyaya five limb schema' (also sometimes referred to as the Indian Schema or Hindu Syllogism) from Gotama's Nyaya-Sutra in terms of a binary occurrence relation. In this paper we provide a rational justification of a version of this reading as Analogical Reasoning within the framework of Polyadic Pure Inductive Logic.
    Probabilistic Principles, MiscPhilosophy of Probability, MiscSubjective Probability, MiscLogical Pro…Read more
    Probabilistic Principles, MiscPhilosophy of Probability, MiscSubjective Probability, MiscLogical Probability
  •  169
    Symmetry in Polyadic Inductive Logic
    with A. Vencovská
    Journal of Logic, Language and Information 21 (2): 189-216. 2012.
    A family of symmetries of polyadic inductive logic are described which in turn give rise to the purportedly rational Permutation Invariance Principle stating that a rational assignment of probabilities should respect these symmetries. An equivalent, and more practical, version of this principle is then derived
    Inductive LogicSubjective Probability, MiscProbabilistic Principles, MiscLogical Probability
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