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Gambling with truth

Cambridge,: MIT Press (1967)

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  1. Jamesian epistemology formalised: An explication of ‘the will to believe’.Richard Pettigrew - 2016 - Episteme 13 (3):253-268.
    Famously, William James held that there are two commandments that govern our epistemic life: Believe truth! Shun error! In this paper, I give a formal account of James' claim using the tools of epistemic utility theory. I begin by giving the account for categorical doxastic states – that is, full belief, full disbelief, and suspension of judgment. Then I will show how the account plays out for graded doxastic states – that is, credences. The latter part of the paper thus (...)
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  • Probability and normativity.David Papineau - 1989 - Behavioral and Brain Sciences 12 (3):484-485.
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  • Coherence and abduction.Paul O'Rorke - 1989 - Behavioral and Brain Sciences 12 (3):484-484.
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  • Engel vs. Rorty on truth.Erik J. Olsson - 2017 - Synthese 194 (5).
    My concern in this paper is a debate between Pascal Engel and Richard Rorty documented in the book What’s the Use of Truth? Both Engel and Rorty problematize the natural suggestion that attaining truth is a goal of our inquiries. Where Rorty thinks this means that truth is not something we should aim for at all over and beyond justification, Engel maintains that truth still plays a distinct role in our intellectual and daily lives. Thus, the debate between Engel and (...)
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  • Persistent propensities: Portrait of a familiar controversy. [REVIEW]Alfred Nordmann - 1990 - Biology and Philosophy 5 (4):379-399.
    Susan Mills and John Beatty's propensity interpretation of fitness encountered very different philosophical criticisms by Alexander Rosenberg and Kenneth Waters. These criticisms and the rejoinders to them are both predictable and important. They are predictable as raisingkinds of issues typically associated with disposition concepts (this is established through a systematic review of the problems generated by Carnap's dispositional interpretation of all scientific terms). They are important as referring the resolution of these issues to the development of evolutionary biology. This historical (...)
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  • Psychology, statistics, and analytical epistemology.Richard E. Nisbett & Paul Thagard - 1983 - Behavioral and Brain Sciences 6 (2):257-258.
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  • Lay arbitration of rules of inference.Richard E. Nisbett - 1981 - Behavioral and Brain Sciences 4 (3):349-350.
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  • Review. [REVIEW]Ilkka Niiniluoto - 1973 - Synthese 25 (3-4):417-436.
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  • Statistical explanation reconsidered.Ilkka Niiniluoto - 1981 - Synthese 48 (3):437 - 472.
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  • Truthlikeness: old and new debates.Ilkka Niiniluoto - 1990 - Synthese 84 (1):139-152.
    The notion of truthlikeness or verisimilitude has been a topic of intensive discussion ever since the definition proposed by Karl Popper was refuted in 1974. This paper gives an analysis of old and new debates about this notion. There is a fairly large agreement about the truthlikeness ordering of conjunctive theories, but the main rival approaches differ especially about false disjunctive theories. Continuing the debate between Niiniluoto’s min-sum measure and Schurz’s relevant consequence measure, the paper also gives a critical assessment (...)
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  • The aim and structure of applied research.Ilkka Niiniluoto - 1993 - Erkenntnis 38 (1):1 - 21.
    The distinction between basic and applied research is notoriously vague, despite its frequent use in science studies and in science policy. In most cases it is based on such pragmatic factors as the knowledge and intentions of the investigator or the type of research institute. Sometimes the validity of the distinction is denied altogether. This paper suggests that there are two ways of distinguishing systematically between basic and applied research: (i) in terms of the utilities that define the aims of (...)
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  • Truthlikeness and bayesian estimation.Ilkka Niiniluoto - 1986 - Synthese 67 (2):321 - 346.
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  • Truth-Seeking by Abduction.Ilkka Niiniluoto - 2018 - Cham, Switzerland: Springer.
    This book examines the philosophical conception of abductive reasoning as developed by Charles S. Peirce, the founder of American pragmatism. It explores the historical and systematic connections of Peirce's original ideas and debates about their interpretations. Abduction is understood in a broad sense which covers the discovery and pursuit of hypotheses and inference to the best explanation. The analysis presents fresh insights into this notion of reasoning, which derives from effects to causes or from surprising observations to explanatory theories. The (...)
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  • Truthlikeness misapplied: A reply to Ernest W. Adams.Ilkka Niiniluoto - 1994 - Synthese 101 (2):291 - 300.
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  • L. J. Cohen versus Bayesianism.Ilkka Niiniluoto - 1981 - Behavioral and Brain Sciences 4 (3):349-349.
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  • Inductive systematization: Definition and a critical survey.Ilkka Niiniluoto - 1972 - Synthese 25 (1-2):25 - 81.
    In 1958, to refute the argument known as the theoretician's dilemma, Hempel suggested that theoretical terms might be logically indispensable for inductive systematization of observational statements. This thesis, in some form or another, has later been supported by Scheffler, Lehrer, and Tuomela, and opposed by Bohnert, Hooker, Stegmüller, and Cornman. In this paper, a critical survey of this discussion is given. Several different putative definitions of the crucial notion inductive systematization achieved by a theory are discussed by reference to the (...)
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  • Optimistic realism about scientific progress.Ilkka Niiniluoto - 2017 - Synthese 194 (9):3291-3309.
    Scientific realists use the “no miracle argument” to show that the empirical and pragmatic success of science is an indicator of the ability of scientific theories to give true or truthlike representations of unobservable reality. While antirealists define scientific progress in terms of empirical success or practical problem-solving, realists characterize progress by using some truth-related criteria. This paper defends the definition of scientific progress as increasing truthlikeness or verisimilitude. Antirealists have tried to rebut realism with the “pessimistic metainduction”, but critical (...)
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  • Epistemic values and the value of learning.Wayne C. Myrvold - 2012 - Synthese 187 (2):547-568.
    In addition to purely practical values, cognitive values also figure into scientific deliberations. One way of introducing cognitive values is to consider the cognitive value that accrues to the act of accepting a hypothesis. Although such values may have a role to play, such a role does not exhaust the significance of cognitive values in scientific decision-making. This paper makes a plea for consideration of epistemic value —that is, value attaching to a state of belief—and defends the notion of cognitive (...)
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  • Can philosophy resolve empirical issues?Clifford R. Mynatt, Ryan D. Tweney & Michael E. Doherty - 1983 - Behavioral and Brain Sciences 6 (3):506.
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  • Epistemic virtues, metavirtues, and computational complexity.Adam Morton - 2004 - Noûs 38 (3):481–502.
    I argue that considerations about computational complexity show that all finite agents need characteristics like those that have been called epistemic virtues. The necessity of these virtues follows in part from the nonexistence of shortcuts, or efficient ways of finding shortcuts, to cognitively expensive routines. It follows that agents must possess the capacities – metavirtues –of developing in advance the cognitive virtues they will need when time and memory are at a premium.
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  • Skepticism and Epistemic Closure: Two Bayesian Accounts.Luca Moretti & Tomoji Shogenji - 2017 - International Journal for the Study of Skepticism 7 (1):1-25.
    This paper considers two novel Bayesian responses to a well-known skeptical paradox. The paradox consists of three intuitions: first, given appropriate sense experience, we have justification for accepting the relevant proposition about the external world; second, we have justification for expanding the body of accepted propositions through known entailment; third, we do not have justification for accepting that we are not disembodied souls in an immaterial world deceived by an evil demon. The first response we consider rejects the third intuition (...)
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  • What is the Normative Role of Logic?Peter Milne - 2009 - Aristotelian Society Supplementary Volume 83 (1):269-298.
    In making assertions one takes on commitments to the consistency of what one asserts and to the logical consequences of what one asserts. Although there is no quick link between belief and assertion, the dialectical requirements on assertion feed back into normative constraints on those beliefs that constitute one's evidence. But if we are not certain of many of our beliefs and that uncertainty is modelled in terms of probabilities, then there is at least prima facie incoherence between the normative (...)
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  • Making sense of method: Comments on Richard Jeffrey.David Miller - 1975 - Synthese 30 (1-2):139 - 147.
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  • Contrapositivism; or, The only evidence worth paying for is contained in the negatives.David Miller - 1983 - Behavioral and Brain Sciences 6 (2):256-257.
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  • Optimization and connectionism are two different things.Drew McDermott - 1989 - Behavioral and Brain Sciences 12 (3):483-484.
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  • Acceptability, analogy, and the acceptability of analogies.Robert N. McCauley - 1989 - Behavioral and Brain Sciences 12 (3):482-483.
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  • The irrational, the unreasonable, and the wrong.Avishai Margalit & Maya Bar-Hillel - 1981 - Behavioral and Brain Sciences 4 (3):346-349.
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  • New science for old.Bruce Mangan & Stephen Palmer - 1989 - Behavioral and Brain Sciences 12 (3):480-482.
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  • The irrelevance of belief to rational action.Patrick Maher - 1986 - Erkenntnis 24 (3):363 - 384.
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  • Propensity, evidence, and diagnosis.J. L. Mackie - 1981 - Behavioral and Brain Sciences 4 (3):345-346.
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  • “Is” and “ought” in cognitive science.William G. Lycan - 1981 - Behavioral and Brain Sciences 4 (3):344-345.
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  • Explanationism, ECHO, and the connectionist paradigm.William G. Lycan - 1989 - Behavioral and Brain Sciences 12 (3):480-480.
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  • Decisions with indeterminate probabilities.Ronald P. Loui - 1986 - Theory and Decision 21 (3):283-309.
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  • Performing competently.Lola L. Lopes - 1981 - Behavioral and Brain Sciences 4 (3):343-344.
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  • Normative theories of rationality: Occam's razor, Procrustes' bed?Lola L. Lopes - 1983 - Behavioral and Brain Sciences 6 (2):255-256.
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  • The Decision-Theoretic Lockean Thesis.Dustin Troy Locke - 2014 - Inquiry: An Interdisciplinary Journal of Philosophy 57 (1):28-54.
    Certain philosophers maintain that there is a ‘constitutive threshold for belief’: to believe that p just is to have a degree of confidence that p above a certain threshold. On the basis of this view, these philosophers defend what is known as ‘the Lockean Thesis ’, according to which it is rational to believe that p just in case it is rational to have a degree of confidence that p above the constitutive threshold for belief. While not directly speaking to (...)
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  • Cut-off points for the rational believer.Lina Maria Lissia - 2022 - Synthese 200 (2):1-19.
    I show that the Lottery Paradox is just a version of the Sorites, and argue that this should modify our way of looking at the Paradox itself. In particular, I focus on what I call “the Cut-off Point Problem” and contend that this problem, well known by Sorites scholars, ought to play a key role in the debate on Kyburg’s puzzle. Very briefly, I show that, in the Lottery Paradox, the premises “ticket n°1 will lose”, “ticket n°2 will lose”… “ticket (...)
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  • Propositional Reasoning that Tracks Probabilistic Reasoning.Hanti Lin & Kevin Kelly - 2012 - Journal of Philosophical Logic 41 (6):957-981.
    This paper concerns the extent to which uncertain propositional reasoning can track probabilistic reasoning, and addresses kinematic problems that extend the familiar Lottery paradox. An acceptance rule assigns to each Bayesian credal state p a propositional belief revision method B p , which specifies an initial belief state B p (T) that is revised to the new propositional belief state B(E) upon receipt of information E. An acceptance rule tracks Bayesian conditioning when B p (E) = B p|E (T), for (...)
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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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  • Who commits the base rate fallacy?Isaac Levi - 1983 - Behavioral and Brain Sciences 6 (3):502.
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  • Should Bayesians sometimes neglect base rates?Isaac Levi - 1981 - Behavioral and Brain Sciences 4 (3):342-343.
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  • Subjunctives, dispositions and chances.Isaac Levi - 1977 - Synthese 34 (4):423 - 455.
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  • Support and surprise: L. J. Cohen's view of inductive probability. [REVIEW]Isaac Levi - 1979 - British Journal for the Philosophy of Science 30 (3):279-292.
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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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  • Iteration of conditionals and the Ramsey test.Isaac Levi - 1988 - Synthese 76 (1):49 - 81.
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  • Ignorance, probability and rational choice.Isaac Levi - 1982 - Synthese 53 (3):387-417.
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  • Information and inference.Isaac Levi - 1967 - Synthese 17 (1):369 - 391.
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  • Explanatory coherence in neural networks?Daniel S. Levine - 1989 - Behavioral and Brain Sciences 12 (3):479-479.
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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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