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  1. Winners and Losers in the Folk Epistemology of Lotteries.John Turri & Ori Friedman - forthcoming - In James Beebe (ed.), Advances in Experimental Epistemology. London, United Kingdom: pp. 45-69.
    We conducted five experiments that reveal some main contours of the folk epistemology of lotteries. The folk tend to think that you don't know that your lottery ticket lost, based on the long odds ("statistical cases"); by contrast, the folk tend to think that you do know that your lottery ticket lost, based on a news report ("testimonial cases"). We evaluate three previous explanations for why people deny knowledge in statistical cases: the justification account, the chance account, and the statistical (...)
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  • The Beliefs and Intentions of Buridan's Ass.Nathaniel Sharadin & Finnur Dellsén - 2017 - Journal of the American Philosophical Association 3 (2):209-226.
    The moral of Buridan's Ass is that it can sometimes be rational to perform one action rather than another even though one lacks stronger reason to do so. Yet it is also commonly believed that it cannot ever be rational to believe one proposition rather than another if one lacks stronger reason to do so. This asymmetry has been taken to indicate a deep difference between epistemic and practical rationality. According to the view articulated here, the asymmetry should instead be (...)
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  • Justificação, Probabilidade e Independência.André Neiva & Tatiane Marks - 2019 - Principia: An International Journal of Epistemology 23 (2):207-230.
    Epistemic justification has been widely accepted as both a gradational and relational notion. Given those properties, a natural thought is to take degrees of epistemic justification to be probabilities. In this paper, we present a simple Bayesian framework for justification. In the first part, after putting the model in an evidentialist form, we distinguish different senses of “being evidence for” and “confirming”. Next, we argue that this conception should accommodate the two relevant kinds of qualitative confirmation or evidential support. In (...)
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  • Probabilistic Inference and Probabilistic Reasoning. Kyburg - 1990 - Philosophical Topics 18 (2):107-116.
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  • The norms of acceptance.Joëlle Proust - 2012 - Philosophical Issues 22 (1):316-333.
    An area in the theory of action that has received little attention is how mental agency and world-directed agency interact. The purpose of the present contribution is to clarify the rational conditions of such interaction, through an analysis of the central case of acceptance. There are several problems with the literature about acceptance. First, it remains unclear how a context of acceptance is to be construed. Second, the possibility of conjoining, in acceptance, an epistemic component, which is essentially mind-to-world, and (...)
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  • Deductive Cogency, understanding, and acceptance.Finnur Dellsén - 2018 - Synthese 195 (7):3121-3141.
    Deductive Cogency holds that the set of propositions towards which one has, or is prepared to have, a given type of propositional attitude should be consistent and closed under logical consequence. While there are many propositional attitudes that are not subject to this requirement, e.g. hoping and imagining, it is at least prima facie plausible that Deductive Cogency applies to the doxastic attitude involved in propositional knowledge, viz. belief. However, this thought is undermined by the well-known preface paradox, leading a (...)
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  • Rational understanding: toward a probabilistic epistemology of acceptability.Finnur Dellsén - 2019 - Synthese 198 (3):2475-2494.
    To understand something involves some sort of commitment to a set of propositions comprising an account of the understood phenomenon. Some take this commitment to be a species of belief; others, such as Elgin and I, take it to be a kind of cognitive policy. This paper takes a step back from debates about the nature of understanding and asks when this commitment involved in understanding is epistemically appropriate, or ‘acceptable’ in Elgin’s terminology. In particular, appealing to lessons from the (...)
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  • Truthlikeness and the Lottery Paradox via the Preface Paradox.Simon D'Alfonso - 2018 - Australasian Journal of Philosophy 96 (2):391-397.
    In a 2017 AJP paper, Cevolani and Schurz propose a novel solution to the Preface Paradox that appeals to the notion of expected truthlikeness. This discussion note extends and analyses their approach by applying it to the related Lottery Paradox.
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  • Information and cognitive agents.Robert Cummins - 1983 - Behavioral and Brain Sciences 6 (1):68-69.
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  • Belief, acceptance, and probability.L. Jonathan Cohen - 1983 - Behavioral and Brain Sciences 6 (2):248-249.
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  • Preface Writers are Consistent.Roger Clarke - 2017 - Pacific Philosophical Quarterly 98 (3):362-381.
    The preface paradox does not show that it can be rational to have inconsistent beliefs, because preface writers do not have inconsistent beliefs. I argue, first, that a fully satisfactory solution to the preface paradox would have it that the preface writer's beliefs are consistent. The case here is on basic intuitive grounds, not the consequence of a theory of rationality or of belief. Second, I point out that there is an independently motivated theory of belief – sensitivism – which (...)
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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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  • Probability, Approximate Truth, and Truthlikeness: More Ways out of the Preface Paradox.Gustavo Cevolani & Gerhard Schurz - 2017 - Australasian Journal of Philosophy 95 (2):209-225.
    The so-called Preface Paradox seems to show that one can rationally believe two logically incompatible propositions. We address this puzzle, relying on the notions of truthlikeness and approximate truth as studied within the post-Popperian research programme on verisimilitude. In particular, we show that adequately combining probability, approximate truth, and truthlikeness leads to an explanation of how rational belief is possible in the face of the Preface Paradox. We argue that our account is superior to other solutions of the paradox, including (...)
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  • String Theory, Non-Empirical Theory Assessment, and the Context of Pursuit.Frank Cabrera - 2021 - Synthese 198:3671–3699.
    In this paper, I offer an analysis of the radical disagreement over the adequacy of string theory. The prominence of string theory despite its notorious lack of empirical support is sometimes explained as a troubling case of science gone awry, driven largely by sociological mechanisms such as groupthink (e.g. Smolin 2006). Others, such as Dawid (2013), explain the controversy by positing a methodological revolution of sorts, according to which string theorists have quietly turned to nonempirical methods of theory assessment given (...)
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  • Can there be a Bayesian explanationism? On the prospects of a productive partnership.Frank Cabrera - 2017 - Synthese 194 (4):1245–1272.
    In this paper, I consider the relationship between Inference to the Best Explanation and Bayesianism, both of which are well-known accounts of the nature of scientific inference. In Sect. 2, I give a brief overview of Bayesianism and IBE. In Sect. 3, I argue that IBE in its most prominently defended forms is difficult to reconcile with Bayesianism because not all of the items that feature on popular lists of “explanatory virtues”—by means of which IBE ranks competing explanations—have confirmational import. (...)
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  • Belief, credence, and norms.Lara Buchak - 2014 - Philosophical Studies 169 (2):1-27.
    There are currently two robust traditions in philosophy dealing with doxastic attitudes: the tradition that is concerned primarily with all-or-nothing belief, and the tradition that is concerned primarily with degree of belief or credence. This paper concerns the relationship between belief and credence for a rational agent, and is directed at those who may have hoped that the notion of belief can either be reduced to credence or eliminated altogether when characterizing the norms governing ideally rational agents. It presents a (...)
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  • Determining what is perceived.Radu J. Bogdan - 1983 - Behavioral and Brain Sciences 6 (1):66-67.
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  • Closure and Epistemic Modals.Justin Bledin & Tamar Lando - 2018 - Philosophy and Phenomenological Research 97 (1):3-22.
    According to a popular closure principle for epistemic justification, if one is justified in believing each of the premises in set Φ and one comes to believe that ψ on the basis of competently deducing ψ from Φ—while retaining justified beliefs in the premises—then one is justified in believing that ψ. This principle is prima facie compelling; it seems to capture the sense in which competent deduction is an epistemically secure means to extend belief. However, even the single-premise version of (...)
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  • Normalcy, Understanding and the Problem of Statistical Evidence.Miloud Belkoniene - 2019 - Theoria 85 (3):202-218.
    This article examines Smith’s recent treatment of the problem of statistical evidence and the conception of epistemic justification that he puts forward. Two possible solutions to the problem of statistical evidence that result from his analysis of cases involving a contrast between statistical and individual evidence are considered. The solution resulting from Smith’s conception of epistemic justification is shown to be inferior to the solution calling for an explanationist conception of epistemic justification. As a result, Smith’s analysis of cases illustrating (...)
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  • Believing epistemic contradictions.Beddor Bob & Simon Goldstein - 2018 - Review of Symbolic Logic (1):87-114.
    What is it to believe something might be the case? We develop a puzzle that creates difficulties for standard answers to this question. We go on to propose our own solution, which integrates a Bayesian approach to belief with a dynamic semantics for epistemic modals. After showing how our account solves the puzzle, we explore a surprising consequence: virtually all of our beliefs about what might be the case provide counterexamples to the view that rational belief is closed under logical (...)
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  • To err is human.Maya Bar-Hillel & Avishai Margalit - 1983 - Behavioral and Brain Sciences 6 (2):246-248.
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  • Information and semantics.Jon Barwise - 1983 - Behavioral and Brain Sciences 6 (1):65-65.
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  • Clarity and the grammar of skepticism.Chris Barker - 2009 - Mind and Language 24 (3):253-273.
    Why ever assert clarity? If It is clear that p is true, then saying so should be at best superfluous. Barker and Taranto (2003) and Taranto (2006) suggest that asserting clarity reveals information about the beliefs of the discourse participants, specifically, that they both believe that p . However, mutual belief is not sufficient to guarantee clarity ( It is clear that God exists ). I propose instead that It is clear that p means instead (roughly) 'the publicly available evidence (...)
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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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  • Human rationality: Essential conflicts, multiple ideals.Jonathan E. Adler - 1983 - Behavioral and Brain Sciences 6 (2):245-246.
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  • Plantinga’s Probability Arguments Against Evolutionary Naturalism.Branden Fitelson & Elliott Sober - 1998 - Pacific Philosophical Quarterly 79 (2):115–129.
    In Chapter 12 of Warrant and Proper Function, Alvin Plantinga constructs two arguments against evolutionary naturalism, which he construes as a conjunction E&N .The hypothesis E says that “human cognitive faculties arose by way of the mechanisms to which contemporary evolutionary thought directs our attention (p.220).”1 With respect to proposition N , Plantinga (p. 270) says “it isn’t easy to say precisely what naturalism is,” but then adds that “crucial to metaphysical naturalism, of course, is the view that there is (...)
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  • Belief and Degrees of Belief.Franz Huber - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer.
    Degrees of belief are familiar to all of us. Our confidence in the truth of some propositions is higher than our confidence in the truth of other propositions. We are pretty confident that our computers will boot when we push their power button, but we are much more confident that the sun will rise tomorrow. Degrees of belief formally represent the strength with which we believe the truth of various propositions. The higher an agent’s degree of belief for a particular (...)
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  • A Survey of Ranking Theory.Wolfgang Spohn - 2009 - In Franz Huber & Christoph Schmidt-Petri (eds.), Degrees of belief. London: Springer.
    "A Survey of Ranking Theory": The paper gives an up-to-date survey of ranking theory. It carefully explains the basics. It elaborates on the ranking theoretic explication of reasons and their balance. It explains the dynamics of belief statable in ranking terms and indicates how the ranks can thereby be measured. It suggests how the theory of Bayesian nets can be carried over to ranking theory. It indicates what it might mean to objectify ranks. It discusses the formal and the philosophical (...)
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  • What Is Justified Group Belief.Jennifer Lackey - 2016 - Philosophical Review Recent Issues 125 (3):341-396.
    This essay raises new objections to the two dominant approaches to understanding the justification of group beliefs—_inflationary_ views, where groups are treated as entities that can float freely from the epistemic status of their members’ beliefs, and _deflationary_ views, where justified group belief is understood as nothing more than the aggregation of the justified beliefs of the group's members. If this essay is right, we need to look in an altogether different place for an adequate account of justified group belief. (...)
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  • Can the lottery paradox be solved by identifying epistemic justification with epistemic permissibility?Benjamin Kiesewetter - 2019 - Episteme 16 (3):241-261.
    Thomas Kroedel argues that the lottery paradox can be solved by identifying epistemic justification with epistemic permissibility rather than epistemic obligation. According to his permissibility solution, we are permitted to believe of each lottery ticket that it will lose, but since permissions do not agglomerate, it does not follow that we are permitted to have all of these beliefs together, and therefore it also does not follow that we are permitted to believe that all tickets will lose. I present two (...)
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  • Philosophy and WEIRD intuition.Stephen Stich - 2010 - Behavioral and Brain Sciences 33 (2-3):110-111.
    From Plato to the present, philosophers have relied on intuitive judgments as evidence for or against philosophical theories. Most philosophers are WEIRD, highly educated, and male. The literature reviewed in the target article suggests that such people might have intuitions that differ from those of people in other groups. There is a growing body of evidence suggesting that they do.
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  • The Psychological Dimension of the Lottery Paradox.Jennifer Nagel - 2021 - In Igor Douven (ed.), The Lottery Paradox. Cambridge University Press.
    The lottery paradox involves a set of judgments that are individually easy, when we think intuitively, but ultimately hard to reconcile with each other, when we think reflectively. Empirical work on the natural representation of probability shows that a range of interestingly different intuitive and reflective processes are deployed when we think about possible outcomes in different contexts. Understanding the shifts in our natural ways of thinking can reduce the sense that the lottery paradox reveals something problematic about our concept (...)
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  • What can we Learn from Buridan's Ass?Ruth Weintraub - 2012 - Canadian Journal of Philosophy 42 (3-4):281-301.
    The mythical1 hungry ass, facing two identical bundles of hay equidistant from him, has engendered two related questions. Can he choose one of the bundles, there seemingly being nothing to incline him one way or the other? If he can, the second puzzle — pertaining to rational choice — arises. It seems the ass cannot rationally choose one of the bundles, because there is no sufficient reason for any choice.2In what follows, I will argue that choice is possible even when (...)
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  • Two-state solution to the lottery paradox.Arturs Logins - 2020 - Philosophical Studies 177 (11):3465-3492.
    This paper elaborates a new solution to the lottery paradox, according to which the paradox arises only when we lump together two distinct states of being confident that p under one general label of ‘belief that p’. The two-state conjecture is defended on the basis of some recent work on gradable adjectives. The conjecture is supported by independent considerations from the impossibility of constructing the lottery paradox both for risk-tolerating states such as being afraid, hoping or hypothesizing, and for risk-averse, (...)
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  • Literal Perceptual Inference.Alex Kiefer - 2017 - In Metzinger Thomas & Wiese Wanja (eds.), Philosophy and Predictive Processing. MIND Group.
    In this paper, I argue that theories of perception that appeal to Helmholtz’s idea of unconscious inference (“Helmholtzian” theories) should be taken literally, i.e. that the inferences appealed to in such theories are inferences in the full sense of the term, as employed elsewhere in philosophy and in ordinary discourse. -/- In the course of the argument, I consider constraints on inference based on the idea that inference is a deliberate acton, and on the idea that inferences depend on the (...)
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  • Rigged lotteries: a diachronic problem for reducing belief to credence.Jonathan Wright - 2018 - Synthese 195 (3):1355-1373.
    Lin and Kelly :957–981, 2012) and Leitgeb :1338–1389, 2013, Philos Rev 123:131–171, 2014), offer similar solutions to the Lottery Paradox, defining acceptance rules which determine a rational agent’s beliefs in terms of broader features of her credal state than just her isolated credences in individual propositions. I express each proposal as a method for obtaining an ordering over a partition from a credence function, and then a belief set from the ordering. Although these proposals avoid the original Lottery Paradox, I (...)
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  • Explanation = Unification? A New Criticism of Friedman’s Theory and a Reply to an Old One.Roche William & Sober Elliott - 2017 - Philosophy of Science 84 (3):391-413.
    According to Michael Friedman’s theory of explanation, a law X explains laws Y1, Y2, …, Yn precisely when X unifies the Y’s, where unification is understood in terms of reducing the number of independently acceptable laws. Philip Kitcher criticized Friedman’s theory but did not analyze the concept of independent acceptability. Here we show that Kitcher’s objection can be met by modifying an element in Friedman’s account. In addition, we argue that there are serious objections to the use that Friedman makes (...)
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  • Knowledge, justification, and (a sort of) safe belief.Daniel Whiting - 2020 - Synthese 197 (8):3593-3609.
    An influential proposal is that knowledge involves safe belief. A belief is safe, in the relevant sense, just in case it is true in nearby metaphysically possible worlds. In this paper, I introduce a distinct but complementary notion of safety, understood in terms of epistemically possible worlds. The main aim, in doing so, is to add to the epistemologist’s tool-kit. To demonstrate the usefulness of the tool, I use it to advance and assess substantive proposals concerning knowledge and justification.
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  • Epistemology and artificial intelligence.Gregory R. Wheeler & Luís Moniz Pereira - 2004 - Journal of Applied Logic 2 (4):469-493.
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  • Justified Inference.Ralph Wedgwood - 2012 - Synthese 189 (2):273-295.
    What is the connection between justification and the kind of consequence relations that are studied by logic? In this essay, I shall try to provide an answer, by proposing a general conception of the kind of inference that counts as justified or rational.
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  • Admissibility Troubles for Bayesian Direct Inference Principles.Christian Wallmann & James Hawthorne - 2020 - Erkenntnis 85 (4):957-993.
    Direct inferences identify certain probabilistic credences or confirmation-function-likelihoods with values of objective chances or relative frequencies. The best known version of a direct inference principle is David Lewis’s Principal Principle. Certain kinds of statements undermine direct inferences. Lewis calls such statements inadmissible. We show that on any Bayesian account of direct inference several kinds of intuitively innocent statements turn out to be inadmissible. This may pose a significant challenge to Bayesian accounts of direct inference. We suggest some ways in which (...)
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  • A Bayesian Solution to the Conflict of Narrowness and Precision in Direct Inference.Christian Wallmann - 2017 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 48 (3):485-500.
    The conflict of narrowness and precision in direct inference occurs if a body of evidence contains estimates for frequencies in a certain reference class and less precise estimates for frequencies in a narrower reference class. To develop a solution to this conflict, I draw on ideas developed by Paul Thorn and John Pollock. First, I argue that Kyburg and Teng’s solution to the conflict of narrowness and precision leads to unreasonable direct inference probabilities. I then show that Thorn’s recent solution (...)
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  • Psychology and the foundations of rational belief.Ryan D. Tweney, Michael E. Doherty & Clifford R. Mynatt - 1983 - Behavioral and Brain Sciences 6 (2):262-263.
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  • Two Problems of Direct Inference.Paul D. Thorn - 2012 - Erkenntnis 76 (3):299-318.
    The article begins by describing two longstanding problems associated with direct inference. One problem concerns the role of uninformative frequency statements in inferring probabilities by direct inference. A second problem concerns the role of frequency statements with gerrymandered reference classes. I show that past approaches to the problem associated with uninformative frequency statements yield the wrong conclusions in some cases. I propose a modification of Kyburg’s approach to the problem that yields the right conclusions. Past theories of direct inference have (...)
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  • The joint aggregation of beliefs and degrees of belief.Paul D. Thorn - 2018 - Synthese 197 (12):5389-5409.
    The article proceeds upon the assumption that the beliefs and degrees of belief of rational agents satisfy a number of constraints, including: consistency and deductive closure for belief sets, conformity to the axioms of probability for degrees of belief, and the Lockean Thesis concerning the relationship between belief and degree of belief. Assuming that the beliefs and degrees of belief of both individuals and collectives satisfy the preceding three constraints, I discuss what further constraints may be imposed on the aggregation (...)
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  • Defeasible Conditionalization.Paul D. Thorn - 2014 - Journal of Philosophical Logic 43 (2-3):283-302.
    The applicability of Bayesian conditionalization in setting one’s posterior probability for a proposition, α, is limited to cases where the value of a corresponding prior probability, PPRI(α|∧E), is available, where ∧E represents one’s complete body of evidence. In order to extend probability updating to cases where the prior probabilities needed for Bayesian conditionalization are unavailable, I introduce an inference schema, defeasible conditionalization, which allows one to update one’s personal probability in a proposition by conditioning on a proposition that represents a (...)
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  • Against Deductive Closure.Paul D. Thorn - 2017 - Theoria 83 (2):103-119.
    The present article illustrates a conflict between the claim that rational belief sets are closed under deductive consequences, and a very inclusive claim about the factors that are sufficient to determine whether it is rational to believe respective propositions. Inasmuch as it is implausible to hold that the factors listed here are insufficient to determine whether it is rational to believe respective propositions, we have good reason to deny that rational belief sets are closed under deductive consequences.
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  • Justification and Argumentation.Krzysztof Szymanek - 2014 - Studies in Logic, Grammar and Rhetoric 36 (1):231-239.
    In her paper “Argumentation theory and the conception of epistemic justification”, Lilian Bermejo-Luque presents a critique of deductivism in argumentation theory, as well as her own concept of epistemic justification inspired by the views of Stephen Toulmin. Reading this paper induced me to reflect on the mutual relation between the notions of justification and argumentation. In this work I would like to first draw the reader’s attention to a few issues which seem debatable to me, or which I find worth (...)
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