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Information and inference

Synthese 17 (1):369 - 391 (1967)

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  1. Faith and Rational Deference to Authority.Lara Buchak - forthcoming - Philosophy and Phenomenological Research.
    Many accounts of faith hold that faith is deference to an authority about what to believe or what to do. I show that this kind of faith fits into a more general account of faith, the risky-commitment account. I further argue that it can be rational to defer to an authority even when the authority’s pronouncement goes against one’s own reasoning. Indeed, such deference is rational in typical cases in which individuals treat others as authorities.
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  • Information and cognitive agents.Robert Cummins - 1983 - Behavioral and Brain Sciences 6 (1):68-69.
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  • State of the field: Measuring information and confirmation.Vincenzo Crupi & Katya Tentori - 2014 - Studies in History and Philosophy of Science Part A 47:81-90.
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  • Content: Semantic and information-theoretic.Paul M. Churchland & Patricia S. Churchland - 1983 - Behavioral and Brain Sciences 6 (1):67-68.
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  • Faith and traditions.Lara Buchak - 2023 - Noûs 57 (3):740-759.
    One phenomenon arising in epistemic life is allegiance to, and break from, a tradition. This phenomenon has three central features. First, individuals who adhere to a tradition seem to respond dogmatically to evidence against their tradition. Second, individuals from different traditions appear to see the same evidence differently. And third, conversion from one tradition to another appears to be different in kind from ordinary belief shift. This paper uses recent work on the nature and rationality of faith to show that (...)
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  • A Faithful Response to Disagreement.Lara Buchak - 2021 - The Philosophical Review 130 (2):191-226.
    In the peer disagreement debate, three intuitively attractive claims seem to conflict: there is disagreement among peers on many important matters; peer disagreement is a serious challenge to one’s own opinion; and yet one should be able to maintain one’s opinion on important matters. I show that contrary to initial appearances, we can accept all three of these claims. Disagreement significantly shifts the balance of the evidence; but with respect to certain kinds of claims, one should nonetheless retain one’s beliefs. (...)
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  • Determining what is perceived.Radu J. Bogdan - 1983 - Behavioral and Brain Sciences 6 (1):66-67.
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  • Information and semantics.Jon Barwise - 1983 - Behavioral and Brain Sciences 6 (1):65-65.
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  • Indeterminism, proximal stimuli, and perception.D. M. Armstrong - 1983 - Behavioral and Brain Sciences 6 (1):64-65.
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  • Knowledge is mutable.Michael A. Arbib - 1983 - Behavioral and Brain Sciences 6 (1):64-64.
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  • Dretske on knowledge.William P. Alston - 1983 - Behavioral and Brain Sciences 6 (1):63-64.
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  • A geo-logical solution to the lottery paradox, with applications to conditional logic.Hanti Lin & Kevin Kelly - 2012 - Synthese 186 (2):531-575.
    We defend a set of acceptance rules that avoids the lottery paradox, that is closed under classical entailment, and that accepts uncertain propositions without ad hoc restrictions. We show that the rules we recommend provide a semantics that validates exactly Adams’ conditional logic and are exactly the rules that preserve a natural, logical structure over probabilistic credal states that we call probalogic. To motivate probalogic, we first expand classical logic to geo-logic, which fills the entire unit cube, and then we (...)
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  • New Tools for Theory Choice and Theory Diagosis.John R. Welch - 2013 - Studies in History and Philosophy of Science Part A 44 (3):318-329.
    Theory choice can be approached in at least four ways. One of these calls for the application of decision theory, and this article endorses this approach. But applying standard forms of decision theory imposes an overly demanding standard of numeric information, supposedly satisfied by point-valued utility and probability functions. To ameliorate this difficulty, a version of decision theory that requires merely comparative utilities and plausibilities is proposed. After a brief summary of this alternative, the article illustrates how comparative decision theory (...)
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  • New tools for theory choice and theory diagnosis.John R. Welch - 2013 - Studies in History and Philosophy of Science Part A 44 (3):318-329.
    Theory choice can be approached in at least four ways. One of these calls for the application of decision theory, and this article endorses this approach. But applying standard forms of decision theory imposes an overly demanding standard of numeric information, supposedly satisfied by point-valued utility and probability functions. To ameliorate this difficulty, a version of decision theory that requires merely comparative utilities and plausibilities is proposed. After a brief summary of this alternative, the article illustrates how comparative decision theory (...)
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  • Decision theory and cognitive choice.John R. Welch - 2011 - European Journal for Philosophy of Science 1 (2):147-172.
    The focus of this study is cognitive choice: the selection of one cognitive option (a hypothesis, a theory, or an axiom, for instance) rather than another. The study proposes that cognitive choice should be based on the plausibilities of states posited by rival cognitive options and the utilities of these options' information outcomes. The proposal introduces a form of decision theory that is novel because comparative; it permits many choices among cognitive options to be based on merely comparative plausibilities and (...)
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  • Probaility and information.Patrick Suppes - 1983 - Behavioral and Brain Sciences 6 (1):81-82.
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  • On the “content” and “relevance” of information-theoretic epistemology.Ernest Sosa - 1983 - Behavioral and Brain Sciences 6 (1):79-81.
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  • Some untoward consequences of Dretske's “causal theory” of information.Kenneth M. Sayre - 1983 - Behavioral and Brain Sciences 6 (1):78-79.
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  • The sufficiency of information-caused belief for knowledge.Bede Rundle - 1983 - Behavioral and Brain Sciences 6 (1):78-78.
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  • Can information be de-cognitized?William W. Rozeboom - 1983 - Behavioral and Brain Sciences 6 (1):76-77.
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  • Information and belief.Barry Loewer - 1983 - Behavioral and Brain Sciences 6 (1):75-76.
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  • Subjunctives, dispositions and chances.Isaac Levi - 1977 - Synthese 34 (4):423 - 455.
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  • Probabilistic pettifoggery.Isaac Levi - 1986 - Erkenntnis 25 (2):133 - 140.
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  • Probability logic, logical probability, and inductive support.Isaac Levi - 2010 - Synthese 172 (1):97-118.
    This paper seeks to defend the following conclusions: The program advanced by Carnap and other necessarians for probability logic has little to recommend it except for one important point. Credal probability judgments ought to be adapted to changes in evidence or states of full belief in a principled manner in conformity with the inquirer’s confirmational commitments—except when the inquirer has good reason to modify his or her confirmational commitment. Probability logic ought to spell out the constraints on rationally coherent confirmational (...)
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  • Jaakko Hintikka.Isaac Levi - 2004 - Synthese 140 (1-2):37 - 41.
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  • Information and error.Isaac Levi - 1983 - Behavioral and Brain Sciences 6 (1):74-75.
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  • Epistemic utility and the evaluation of experiments.Isaac Levi - 1977 - Philosophy of Science 44 (3):368-386.
    William K. Goosens claims to show that my account of epistemic utility runs into serious difficulties when confronted with certain attractive conditions of adequacy for the evaluation of experiments. I show that those conditions of adequacy which are, indeed, acceptable to both of us are satisfied by the procedures for evaluating experiments mandated by combining my theory of epistemic utilities with the approach to evaluating experiments on which Goosens' argument is based. In particular, I demonstrate that my theory does not (...)
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  • Estimation and error free information.Isaac Levi - 1986 - Synthese 67 (2):347 - 360.
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  • Deductive closure.Isaac Levi - 2012 - Synthese 186 (2):493-499.
    This is a brief review of issues over which Henry Kyburg and I differed concerning the requirement that full beliefs should be closed under deductive consequence.
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  • Dretske on knowledge.Keith Lehrer & Stewart Cohen - 1983 - Behavioral and Brain Sciences 6 (1):73-74.
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  • Knowledge and the absolute.Henry E. Kyburg - 1983 - Behavioral and Brain Sciences 6 (1):72-73.
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  • Knowledge and the relativity of information.Gilbert Harman - 1983 - Behavioral and Brain Sciences 6 (1):72-72.
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  • Can information be objectivized?Ralph Norman Haber - 1983 - Behavioral and Brain Sciences 6 (1):70-71.
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  • Physical probability, surprise, and certainty.I. J. Good - 1983 - Behavioral and Brain Sciences 6 (1):70-70.
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  • Four Difficulties with Dretske's Theory of Knowledge.Carl Ginet - 1983 - Behavioral and Brain Sciences 6 (1):69-70.
    Four difficulties with Dretske's theory of knowledge .
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  • Undercutting and the Ramsey test for conditionals.André Fuhrmann & Isaac Levi - 1994 - Synthese 101 (2):157-169.
    There is an important class of conditionals whose assertibility conditions are not given by the Ramsey test but by an inductive extension of that test. Such inductive Ramsey conditionals fail to satisfy some of the core properties of plain conditionals. Associated principles of nonmonotonic inference should not be assumed to hold generally if interpretations in terms of induction or appeals to total evidence are not to be ruled out.
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  • Information and Veridicality: Information Processing and the Bar-Hillel/Carnap Paradox.Nir Fresco & Michaelis Michael - 2016 - Philosophy of Science 83 (1):131-151.
    Floridi’s Theory of Strongly Semantic Information posits the Veridicality Thesis. One motivation is that it can serve as a foundation for information-based epistemology being an alternative to the tripartite theory of knowledge. However, the Veridicality thesis is false, if ‘information’ is to play an explanatory role in human cognition. Another motivation is avoiding the so-called Bar-Hillel/Carnap paradox. But this paradox only seems paradoxical, if ‘information’ and ‘informativeness’ are synonymous, logic is a theory of inference, or validity suffices for rational inference; (...)
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  • Outline of a theory of strongly semantic information.Luciano Floridi - 2004 - Minds and Machines 14 (2):197-221.
    This paper outlines a quantitative theory of strongly semantic information (TSSI) based on truth-values rather than probability distributions. The main hypothesis supported in the paper is that the classic quantitative theory of weakly semantic information (TWSI), based on probability distributions, assumes that truth-values supervene on factual semantic information, yet this principle is too weak and generates a well-known semantic paradox, whereas TSSI, according to which factual semantic information encapsulates truth, can avoid the paradox and is more in line with the (...)
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  • A measure for the distance between an interval hypothesis and the truth.Roberto Festa - 1986 - Synthese 67 (2):273 - 320.
    The problem of distance from the truth, and more generally distance between hypotheses, is considered here with respect to the case of quantitative hypotheses concerning the value of a given scientific quantity.Our main goal consists in the explication of the concept of distance D(I, ) between an interval hypothesis I and a point hypothesis . In particular, we attempt to give an axiomatic foundation of this notion on the basis of a small number of adequacy conditions.
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  • Why information?Freg I. Dretske - 1983 - Behavioral and Brain Sciences 6 (1):82-90.
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  • Precis of knowledge and the flow of information.Fred I. Dretske - 1983 - Behavioral and Brain Sciences 6 (1):55-90.
    A theory of information is developed in which the informational content of a signal (structure, event) can be specified. This content is expressed by a sentence describing the condition at a source on which the properties of a signal depend in some lawful way. Information, as so defined, though perfectly objective, has the kind of semantic property (intentionality) that seems to be needed for an analysis of cognition. Perceptual knowledge is an information-dependent internal state with a content corresponding to the (...)
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  • Applied Epistemology: Prospects and Problems.Søren Harnow Klausen - 2009 - Res Cogitans 6 (1).
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