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Gambling with truth

Cambridge,: MIT Press (1967)

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  1. 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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  • 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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  • 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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  • Epistemic Virtues, Metavirtues, and Computational Complexity.Professor 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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  • Explanationism, ECHO, and the connectionist paradigm.William G. Lycan - 1989 - Behavioral and Brain Sciences 12 (3):480-480.
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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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  • 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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  • Who commits the base rate fallacy?Isaac Levi - 1983 - Behavioral and Brain Sciences 6 (3):502.
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  • Subjunctives, dispositions and chances.Isaac Levi - 1977 - Synthese 34 (4):423 - 455.
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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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  • 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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  • Ignorance, probability and rational choice.Isaac Levi - 1982 - Synthese 53 (3):387-417.
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  • Iteration of conditionals and the Ramsey test.Isaac Levi - 1988 - Synthese 76 (1):49 - 81.
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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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  • Conjunctive bliss.Isaac Levi - 1983 - Behavioral and Brain Sciences 6 (2):254-255.
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  • I—The Humean Thesis on Belief.Hannes Leitgeb - 2015 - Aristotelian Society Supplementary Volume 89 (1):143-185.
    This paper suggests a bridge principle for all-or-nothing belief and degrees of belief to the effect that belief corresponds to stably high degree of belief. Different ways of making this Humean thesis on belief precise are discussed, and one of them is shown to stand out by unifying the others. The resulting version of the thesis proves to be fruitful in entailing the logical closure of belief, the Lockean thesis on belief, and coherence between decision-making based on all-or-nothing beliefs and (...)
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  • Subjective probability and acceptance.Mark Norris Lance - 1995 - Philosophical Studies 77 (1):147 - 179.
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  • The role of logic in reason, inference, and decision.Henry E. Kyburg - 1983 - Behavioral and Brain Sciences 6 (2):263-273.
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  • Intuition, competence, and performance.Henry E. Kyburg - 1981 - Behavioral and Brain Sciences 4 (3):341-342.
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  • Propensities and Probabilities. [REVIEW]Henry E. Kyberg - 1974 - British Journal for the Philosophy of Science 25 (4):358-375.
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  • Rational belief.Henry E. Kyburg - 1983 - Behavioral and Brain Sciences 6 (2):231-245.
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  • Improvements in human reasoning and an error in L. J. Cohen's.David H. Krantz - 1981 - Behavioral and Brain Sciences 4 (3):340-340.
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  • Does ECHO explain explanation? A psychological perspective.Joshua Klayman & Robin M. Hogarth - 1989 - Behavioral and Brain Sciences 12 (3):478-479.
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  • Believing the improbable.Mark Kaplan - 1995 - Philosophical Studies 77 (1):117 - 146.
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  • Who shall be the arbiter of our intuitions?Daniel Kahneman - 1981 - Behavioral and Brain Sciences 4 (3):339-340.
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  • Philosophical arguments, psychological experiments, and the problem of consistency.D. Kahneman - 1983 - Behavioral and Brain Sciences 6 (2):253-254.
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