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  1. Impossibility Results for Rational Belief.Gerhard Schurz - 2019 - Noûs 53 (1):134-159.
    There are two ways of representing rational belief: qualitatively as yes-or-no belief, and quantitatively as degrees of belief. Standard rationality conditions are: consistency and logical closure, for qualitative belief, satisfaction of the probability axioms, for quantitative belief, and a relationship between qualitative and quantitative beliefs in accordance with the Lockean thesis. In this paper, it is shown that these conditions are inconsistent with each of three further rationality conditions: fallibilism, open-mindedness, and invariance under independent conceptual expansions. Restrictions of the Lockean (...)
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  • Diachronic Norms for Self-Locating Beliefs.Wolfgang Schwarz - 2017 - Ergo: An Open Access Journal of Philosophy 4.
    How should rational beliefs change over time? The standard Bayesian answer is: by conditionalization (a.k.a. Bayes’ Rule). But conditionalization is not an adequate rule for updating beliefs in “centred” propositions whose truth-value may itself change over time. In response, some have suggested that the objects of belief must be uncentred; others have suggested that beliefs in centred propositions are not subject to diachronic norms. Iargue that these views do not offer a satisfactory account of self-locating beliefs and their dynamics. A (...)
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  • Decisions and Higher‐Order Knowledge.Moritz Schulz - 2017 - Noûs 51 (3):463-483.
    A knowledge-based decision theory faces what has been called the prodigality problem : given that many propositions are assigned probability 1, agents will be inclined to risk everything when betting on propositions which are known. In order to undo probability 1 assignments in high risk situations, the paper develops a theory which systematically connects higher level goods with higher-order knowledge.
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  • Human rationality: Misleading linguistic analogies.Geoffrey Sampson - 1981 - Behavioral and Brain Sciences 4 (3):350-351.
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  • Unsharp Sharpness.Nils-Eric Sahlin & Paul Weirich - 2013 - Theoria 80 (1):100-103.
    In a recent, thought-provoking paper Adam Elga argues against unsharp – e.g., indeterminate, fuzzy and unreliable – probabilities. Rationality demands sharpness, he contends, and this means that decision theories like Levi's, Gärdenfors and Sahlin's, and Kyburg's, though they employ different decision rules, face a common, and serious, problem. This article defends the rule to maximize minimum expected utility against Elga's objection.
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  • Three decision rules for generalized probability representations.Nils-Eric Sahlin - 1985 - Behavioral and Brain Sciences 8 (4):751-753.
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  • Groupthink.Jeffrey Sanford Russell, John Hawthorne & Lara Buchak - 2015 - Philosophical Studies 172 (5):1287-1309.
    How should a group with different opinions (but the same values) make decisions? In a Bayesian setting, the natural question is how to aggregate credences: how to use a single credence function to naturally represent a collection of different credence functions. An extension of the standard Dutch-book arguments that apply to individual decision-makers recommends that group credences should be updated by conditionalization. This imposes a constraint on what aggregation rules can be like. Taking conditionalization as a basic constraint, we gather (...)
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  • Risk and diversification in theory choice.Alexander Rueger - 1996 - Synthese 109 (2):263 - 280.
    How can it be rational to work on a new theory that does not yet meet the standards for good or acceptable theories? If diversity of approaches is a condition for scientific progress, how can a scientific community achieve such progress when each member does what it is rational to do, namely work on the best theory? These two methodological problems, the problem of pursuit and the problem of diversity, can be solved by taking into account the cognitive risk that (...)
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  • Stability, strength and sensitivity: Converting belief into knowledge.Hans Rott - 2004 - Erkenntnis 61 (2-3):469-493.
    In this paper I discuss the relation between various properties that have been regarded as important for determining whether or not a belief constitutes a piece of knowledge: its stability, strength and sensitivity to truth, as well as the strength of the epistemic position in which the subject is with respect to this belief. Attempts to explicate the relevant concepts more formally with the help of systems of spheres of possible worlds (à la Lewis and Grove) must take care to (...)
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  • Peer Disagreement: A Call for the Revision of Prior Probabilities.Sven Rosenkranz & Moritz Schulz - 2015 - Dialectica 69 (4):551-586.
    The current debate about peer disagreement has so far mainly focused on the question of whether peer disagreements provide genuine counterevidence to which we should respond by revising our credences. By contrast, comparatively little attention has been devoted to the question by which process, if any, such revision should be brought about. The standard assumption is that we update our credences by conditionalizing on the evidence that peer disagreements provide. In this paper, we argue that non-dogmatist views have good reasons (...)
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  • The logic is in the representation.Russell Revlin - 1983 - Behavioral and Brain Sciences 6 (2):259-259.
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  • Do scientific aims justify methodological rules?David B. Resnik - 1993 - Erkenntnis 38 (2):223 - 232.
    According to a popular view of scientific methodology, scientific methods are prescriptive rules (methodological rules) which are justified in so far as they realize or promote the aims of science. This paper considers several different interpretations of the phrase aims of science, arguing that none of these interpretations allow aims to provide a satisfactory justification of methodological rules.
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  • Measuring the plausibility of explanatory hypotheses.James A. Reggia - 1989 - Behavioral and Brain Sciences 12 (3):486-487.
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  • Explanatory coherence in understanding persons, interactions, and relationships.Stephen J. Read & Lynn C. Miller - 1989 - Behavioral and Brain Sciences 12 (3):485-486.
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  • Open-Minded Orthodox Bayesianism by Epsilon-Conditionalization.Eric Raidl - 2020 - British Journal for the Philosophy of Science 71 (1):139-176.
    Orthodox Bayesianism endorses revising by conditionalization. This paper investigates the zero-raising problem, or equivalently the certainty-dropping problem of orthodox Bayesianism: previously neglected possibilities remain neglected, although the new evidence might suggest otherwise. Yet, one may want to model open-minded agents, that is, agents capable of raising previously neglected possibilities. Different reasons can be given for open-mindedness, one of which is fallibilism. The paper proposes a family of open-minded propositional revisions depending on a parameter ϵ. The basic idea is this: first (...)
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  • From values to probabilities.Wlodek Rabinowicz - 2017 - Synthese 194 (10):3901-3929.
    According to the fitting-attitude analysis of value , to be valuable is to be a fitting object of a pro-attitude. In earlier publications, setting off from this format of analysis, I proposed a modelling of value relations which makes room for incommensurability in value. In this paper, I first recapitulate the value modelling and then move on to suggest adopting a structurally similar analysis of probability. Indeed, many probability theorists from Poisson onwards did adopt an analysis of this kind. This (...)
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  • Does practical deliberation crowd out self-prediction?Wlodek Rabinowicz - 2002 - Erkenntnis 57 (1):91-122.
    It is a popular view thatpractical deliberation excludes foreknowledge of one's choice. Wolfgang Spohn and Isaac Levi have argued that not even a purely probabilistic self-predictionis available to thedeliberator, if one takes subjective probabilities to be conceptually linked to betting rates. It makes no sense to have a betting rate for an option, for one's willingness to bet on the option depends on the net gain from the bet, in combination with the option's antecedent utility, rather than on the offered (...)
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  • The rules versus similarity distinction.Emmanuel M. Pothos - 2005 - Behavioral and Brain Sciences 28 (1):1-14.
    The distinction between rules and similarity is central to our understanding of much of cognitive psychology. Two aspects of existing research have motivated the present work. First, in different cognitive psychology areas we typically see different conceptions of rules and similarity; for example, rules in language appear to be of a different kind compared to rules in categorization. Second, rules processes are typically modeled as separate from similarity ones; for example, in a learning experiment, rules and similarity influences would be (...)
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  • Coherence & Confirmation: The Epistemic Limitations of the Impossibility Theorems.Ted Poston - 2022 - Kriterion - Journal of Philosophy 36 (1):83-111.
    It is a widespread intuition that the coherence of independent reports provides a powerful reason to believe that the reports are true. Formal results by Huemer, M. 1997. “Probability and Coherence Justification.” Southern Journal of Philosophy 35: 463–72, Olsson, E. 2002. “What is the Problem of Coherence and Truth?” Journal of Philosophy XCIX : 246–72, Olsson, E. 2005. Against Coherence: Truth, Probability, and Justification. Oxford University Press., Bovens, L., and S. Hartmann. 2003. Bayesian Epistemology. Oxford University Press, prove that, under (...)
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  • Reasoning defeasibly about probabilities.John L. Pollock - 2011 - Synthese 181 (2):317-352.
    In concrete applications of probability, statistical investigation gives us knowledge of some probabilities, but we generally want to know many others that are not directly revealed by our data. For instance, we may know prob(P/Q) (the probability of P given Q) and prob(P/R), but what we really want is prob(P/Q& R), and we may not have the data required to assess that directly. The probability calculus is of no help here. Given prob(P/Q) and prob(P/R), it is consistent with the probability (...)
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  • How to use probabilities in reasoning.John L. Pollock - 1991 - Philosophical Studies 64 (1):65 - 85.
    Probabilities are important in belief updating, but probabilistic reasoning does not subsume everything else (as the Bayesian would have it). On the contrary, Bayesian reasoning presupposes knowledge that cannot itself be obtained by Bayesian reasoning, making generic Bayesianism an incoherent theory of belief updating. Instead, it is indefinite probabilities that are of principal importance in belief updating. Knowledge of such indefinite probabilities is obtained by some form of statistical induction, and inferences to non-probabilistic conclusions are carried out in accordance with (...)
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  • Confirming confirmation bias.P. Pollard - 1983 - Behavioral and Brain Sciences 6 (2):258-259.
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  • Order-Independent Transformative Decision Rules.Martin Peterson & Sven Ove Hansson - 2005 - Synthese 147 (2):323-342.
    A transformative decision rule alters the representation of a decision problem, either by changing the set of alternative acts or the set of states of the world taken into consideration, or by modifying the probability or value assignments. A set of transformative decision rules is order-independent in case the order in which the rules are applied is irrelevant. The main result of this paper is an axiomatic characterization of order-independent transformative decision rules, based on a single axiom. It is shown (...)
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  • Demystifying Dilation.Arthur Paul Pedersen & Gregory Wheeler - 2014 - Erkenntnis 79 (6):1305-1342.
    Dilation occurs when an interval probability estimate of some event E is properly included in the interval probability estimate of E conditional on every event F of some partition, which means that one’s initial estimate of E becomes less precise no matter how an experiment turns out. Critics maintain that dilation is a pathological feature of imprecise probability models, while others have thought the problem is with Bayesian updating. However, two points are often overlooked: (1) knowing that E is stochastically (...)
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  • Updating as Communication.Sarah Moss - 2012 - Philosophy and Phenomenological Research 85 (2):225-248.
    Traditional procedures for rational updating fail when it comes to self-locating opinions, such as your credences about where you are and what time it is. This paper develops an updating procedure for rational agents with self-locating beliefs. In short, I argue that rational updating can be factored into two steps. The first step uses information you recall from your previous self to form a hypothetical credence distribution, and the second step changes this hypothetical distribution to reflect information you have genuinely (...)
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  • On The Descriptive Adequacy of Levi's Decision Theory.Patrick Maher & Yoshihisa Kashima - 1991 - Economics and Philosophy 7 (1):93-100.
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  • Levi on the Allais and Ellsberg Paradoxes.Patrick Maher - 1989 - Economics and Philosophy 5 (1):69.
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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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  • The Value of Knowledge.Erik J. Olsson - 2011 - Philosophy Compass 6 (12):874-883.
    A problem occupying much contemporary epistemology is that of explaining why knowledge is more valuable than mere true belief. This paper provides an overview of this debate, starting with historical figures and early work. The contemporary debate in mainstream epistemology is then surveyed and some recent developments that deserve special attention are highlighted, including mounting doubts about the prospects for virtue epistemology to solve the value problem as well as renewed interest in classical and reliabilist‐externalist responses.
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  • F. P. Ramsey on knowledge and fallibilism.Erik J. Olsson - 2004 - Dialectica 58 (4):549–557.
    The paper deals mainly with two problems in the epistemology of Frank Plumpton Ramsey. One concerns his account of knowledge, the other his fallibilism. I argue that Ramsey failed to make room for the social aspect of knowledge and, furthermore, that he did not separate the fallibility of our view from its corrigibility. My positive proposal is to combine social reliabilism and corrigibilism with a rejection of fallibilism.
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  • Avoiding epistemic hell: Levi on pragmatism and inconsistency.Erik J. Olsson - 2003 - Synthese 135 (1):119 - 140.
    Isaac Levi has claimed that our reliance on the testimony of others, and on the testimony of the senses, commonly produces inconsistency in our set of full beliefs. This happens if what is reported is inconsistent with what we believe to be the case. Drawing on a conception of the role of beliefs in inquiry going back to Dewey, Levi has maintained that the inconsistent belief corpus is a state of ``epistemic hell'': it is useless as a basis for inquiry (...)
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  • Comparing incommensurable theories.Alfred Nordmann - 1986 - Studies in History and Philosophy of Science Part A 17 (2):231-246.
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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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  • 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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  • L. J. Cohen versus Bayesianism.Ilkka Niiniluoto - 1981 - Behavioral and Brain Sciences 4 (3):349-349.
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  • Hypothetical imperatives and conditional obligations.Ilkka Niiniluoto - 1986 - Synthese 66 (1):111 - 133.
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  • Persistent Disagreement and Polarization in a Bayesian Setting.Michael Nielsen & Rush T. Stewart - 2021 - British Journal for the Philosophy of Science 72 (1):51-78.
    For two ideally rational agents, does learning a finite amount of shared evidence necessitate agreement? No. But does it at least guard against belief polarization, the case in which their opinions get further apart? No. OK, but are rational agents guaranteed to avoid polarization if they have access to an infinite, increasing stream of shared evidence? No.
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  • Deterministic Convergence and Strong Regularity.Michael Nielsen - 2018 - British Journal for the Philosophy of Science 71 (4):1461-1491.
    Bayesians since Savage (1972) have appealed to asymptotic results to counter charges of excessive subjectivity. Their claim is that objectionable differences in prior probability judgments will vanish as agents learn from evidence, and individual agents will converge to the truth. Glymour (1980), Earman (1992) and others have voiced the complaint that the theorems used to support these claims tell us, not how probabilities updated on evidence will actually}behave in the limit, but merely how Bayesian agents believe they will behave, suggesting (...)
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  • Feminist Philosophy of Science.Lynn Hankinson Nelson - 2002 - In Peter Machamer & Michael Silberstein (eds.), The Blackwell Guide to the Philosophy of Science. Oxford, UK: Blackwell. pp. 312–331.
    This chapter contains sections titled: Highlights of Past Literature Current Work Future Work.
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  • A Theory of Rational Choice under Ignorance.Klaus Nehring - 2000 - Theory and Decision 48 (3):205-240.
    This paper contributes to a theory of rational choice for decision-makers with incomplete preferences due to partial ignorance, whose beliefs are representable as sets of acceptable priors. We focus on the limiting case of `Complete Ignorance' which can be viewed as reduced form of the general case of partial ignorance. Rationality is conceptualized in terms of a `Principle of Preference-Basedness', according to which rational choice should be isomorphic to asserted preference. The main result characterizes axiomatically a new choice-rule called `Simultaneous (...)
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  • Arbitrage, rationality, and equilibrium.Robert F. Nau & Kevin F. McCardle - 1991 - Theory and Decision 31 (2-3):199-240.
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  • A Simulacrum Account of Dispositional Properties.Marco J. Nathan - 2013 - Noûs 49 (2):253-274.
    This essay presents a model-theoretic account of dispositional properties, according to which dispositions are not ordinary properties of real entities; dispositions capture the behavior of abstract, idealized models. This account has several payoffs. First, it saves the simple conditional analysis of dispositions. Second, it preserves the general connection between dispositions and regularities, despite the fact that some dispositions are not grounded in actual regularities. Finally, it brings together the analysis and the explanation of dispositions under a unified framework.
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  • Scoring Rules and Epistemic Compromise.Sarah Moss - 2011 - Mind 120 (480):1053-1069.
    It is commonly assumed that when we assign different credences to a proposition, a perfect compromise between our opinions simply ‘splits the difference’ between our credences. I introduce and defend an alternative account, namely that a perfect compromise maximizes the average of the expected epistemic values that we each assign to alternative credences in the disputed proposition. I compare the compromise strategy I introduce with the traditional strategy of compromising by splitting the difference, and I argue that my strategy is (...)
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  • Uncertainty, credal sets and second order probability.Jonas Clausen Mork - 2013 - Synthese 190 (3):353-378.
    The last 20 years or so has seen an intense search carried out within Dempster–Shafer theory, with the aim of finding a generalization of the Shannon entropy for belief functions. In that time, there has also been much progress made in credal set theory—another generalization of the traditional Bayesian epistemic representation—albeit not in this particular area. In credal set theory, sets of probability functions are utilized to represent the epistemic state of rational agents instead of the single probability function of (...)
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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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  • Tough enough? Robust satisficing as a decision norm for long-term policy analysis.Andreas L. Mogensen & David Thorstad - 2022 - Synthese 200 (1):1-26.
    This paper aims to open a dialogue between philosophers working in decision theory and operations researchers and engineers working on decision-making under deep uncertainty. Specifically, we assess the recommendation to follow a norm of robust satisficing when making decisions under deep uncertainty in the context of decision analyses that rely on the tools of Robust Decision-Making developed by Robert Lempert and colleagues at RAND. We discuss two challenges for robust satisficing: whether the norm might derive its plausibility from an implicit (...)
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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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  • Possibility, chance and necessity.D. H. Mellor - 2000 - Australasian Journal of Philosophy 78 (1):16 – 27.
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