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Probability and proximity in surprise

Synthese 198 (11):10939-10957 (2020)

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  1. Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...)
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  • A Second Look at the Logic of Explanatory Power (with Two Novel Representation Theorems).Vincenzo Crupi & Katya Tentori - 2012 - Philosophy of Science 79 (3):365-385.
    We discuss the probabilistic analysis of explanatory power and prove a representation theorem for posterior ratio measures recently advocated by Schupbach and Sprenger. We then prove a representation theorem for an alternative class of measures that rely on the notion of relative probability distance. We end up endorsing the latter, as relative distance measures share the properties of posterior ratio measures that are genuinely appealing, while overcoming a feature that we consider undesirable. They also yield a telling result concerning formal (...)
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  • Why Do Certain States of Affairs Call Out for Explanation? A Critique of Two Horwichian Accounts.Dan Baras - 2019 - Philosophia 47 (5):1405-1419.
    Motivated by examples, many philosophers believe that there is a significant distinction between states of affairs that are striking and therefore call for explanation and states of affairs that are not striking. This idea underlies several influential debates in metaphysics, philosophy of mathematics, normative theory, philosophy of modality, and philosophy of science but is not fully elaborated or explored. This paper aims to address this lack of clear explanation first by clarifying the epistemological issue at hand. Then it introduces an (...)
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  • Accuracy and the Laws of Credence.Richard Pettigrew - 2016 - New York, NY.: Oxford University Press UK.
    Richard Pettigrew offers an extended investigation into a particular way of justifying the rational principles that govern our credences. The main principles that he justifies are the central tenets of Bayesian epistemology, though many other related principles are discussed along the way. Pettigrew looks to decision theory in order to ground his argument. He treats an agent's credences as if they were a choice she makes between different options, gives an account of the purely epistemic utility enjoyed by different sets (...)
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  • Formal Epistemology and Cartesian Skepticism: In Defense of Belief in the Natural World.Tomoji Shogenji - 2017 - New York: Routledge.
    This book develops new techniques in formal epistemology and applies them to the challenge of Cartesian skepticism. It introduces two formats of epistemic evaluation that should be of interest to epistemologists and philosophers of science: the dual-component format, which evaluates a statement on the basis of its safety and informativeness, and the relative-divergence format, which evaluates a probabilistic model on the basis of its complexity and goodness of fit with data. Tomoji Shogenji shows that the former lends support to Cartesian (...)
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  • Fine-tuning and multiple universes.Roger White - 2000 - Noûs 34 (2):260–276.
    ports the thesis that there exist very many universes. The view has found favor with a number of philosophers such as Derek Parfit ~1998!, J. J. C. Smart ~1989! and Peter van Inwagen ~1993!.1 My purpose is to argue that this is a mistake. First let me set out the issue in more detail.
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  • On Popper's definitions of verisimilitude.Pavel Tichý - 1974 - British Journal for the Philosophy of Science 25 (2):155-160.
    2 Popper's Logical Definition of Verisimilitude. 3 Popper's Probabilistic Definition of Verisimilitude. 4 Conclusion.
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  • Fine-tuning, multiple universes, and the "this universe" objection.Neil A. Manson & Michael J. Thrush - 2003 - Pacific Philosophical Quarterly 84 (1):67–83.
    When it is suggested that the fine‐tuning of the universe for life provides evidence for a cosmic designer, the multiple‐universe hypothesis is often presented as an alternative. Some philosophers object that the multiple‐universe hypothesis fails to explain why this universe is fine‐tuned for life. We suggest the “This Universe” objection is no better than the “This Planet” objection. We also fault proponents of the “This Universe” objection for presupposing that we could not have existed in any other universe and that (...)
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  • The Logic of Explanatory Power.Jonah N. Schupbach & Jan Sprenger - 2011 - Philosophy of Science 78 (1):105-127.
    This article introduces and defends a probabilistic measure of the explanatory power that a particular explanans has over its explanandum. To this end, we propose several intuitive, formal conditions of adequacy for an account of explanatory power. Then, we show that these conditions are uniquely satisfied by one particular probabilistic function. We proceed to strengthen the case for this measure of explanatory power by proving several theorems, all of which show that this measure neatly corresponds to our explanatory intuitions. Finally, (...)
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  • Information and Inaccuracy.William Roche & Tomoji Shogenji - 2018 - British Journal for the Philosophy of Science 69 (2):577-604.
    This article proposes a new interpretation of mutual information. We examine three extant interpretations of MI by reduction in doubt, by reduction in uncertainty, and by divergence. We argue that the first two are inconsistent with the epistemic value of information assumed in many applications of MI: the greater is the amount of information we acquire, the better is our epistemic position, other things being equal. The third interpretation is consistent with EVI, but it is faced with the problem of (...)
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  • Information and Inaccuracy.William Roche & Tomoji Shogenji - 2016 - British Journal for the Philosophy of Science:axw025.
    This paper proposes a new interpretation of mutual information (MI). We examine three extant interpretations of MI by reduction in doubt, by reduction in uncertainty, and by divergence. We argue that the first two are inconsistent with the epistemic value of information (EVI) assumed in many applications of MI: the greater is the amount of information we acquire, the better is our epistemic position, other things being equal. The third interpretation is consistent with EVI, but it is faced with the (...)
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  • Corroborating testimony, probability and surprise.Erik J. Olsson - 2002 - British Journal for the Philosophy of Science 53 (2):273-288.
    Jonathan Cohen has claimed that in cases of witness agreement there is an inverse relationship between the prior probability and the posterior probability of what is being agreed: the posterior rises as the prior falls. As is demonstrated in this paper, this contention is not generally valid. In fact, in the most straightforward case exactly the opposite is true: a lower prior also means a lower posterior. This notwithstanding, there is a grain of truth to what Cohen is saying, as (...)
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  • Popper’s qualitative theory of verisimilitude.David Miller - 1974 - British Journal for the Philosophy of Science 25 (2):166-177.
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  • Confirmation, heuristics, and explanatory reasoning.Timothy McGrew - 2003 - British Journal for the Philosophy of Science 54 (4):553-567.
    Recent work on inference to the best explanation has come to an impasse regarding the proper way to coordinate the theoretical virtues in explanatory inference with probabilistic confirmation theory, and in particular with aspects of Bayes's Theorem. I argue that the theoretical virtues are best conceived heuristically and that such a conception gives us the resources to explicate the virtues in terms of ceteris paribus theorems. Contrary to some Bayesians, this is not equivalent to identifying the virtues with likelihoods or (...)
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  • Fine-Tuning, Multiple Universes, and the 'This Universe' Objection.Neil Manson - 2003 - Pacific Philosophical Quarterly 84 (1):67 - 83.
    When it is suggested that the fine‐tuning of the universe for life provides evidence for a cosmic designer, the multiple‐universe hypothesis is often presented as an alternative. Some philosophers object that the multiple‐universe hypothesis fails to explain why this universe is fine‐tuned for life. We suggest the “This Universe” objection is no better than the “This Planet” objection. We also fault proponents of the “This Universe” objection for presupposing that we could not have existed in any other universe and that (...)
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  • Leitgeb and Pettigrew on Accuracy and Updating.Benjamin Anders Levinstein - 2012 - Philosophy of Science 79 (3):413-424.
    Leitgeb and Pettigrew argue that (1) agents should minimize the expected inaccuracy of their beliefs and (2) inaccuracy should be measured via the Brier score. They show that in certain diachronic cases, these claims require an alternative to Jeffrey Conditionalization. I claim that this alternative is an irrational updating procedure and that the Brier score, and quadratic scoring rules generally, should be rejected as legitimate measures of inaccuracy.
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  • An Objective Justification of Bayesianism II: The Consequences of Minimizing Inaccuracy.Hannes Leitgeb & Richard Pettigrew - 2010 - Philosophy of Science 77 (2):236-272.
    One of the fundamental problems of epistemology is to say when the evidence in an agent’s possession justifies the beliefs she holds. In this paper and its prequel, we defend the Bayesian solution to this problem by appealing to the following fundamental norm: Accuracy An epistemic agent ought to minimize the inaccuracy of her partial beliefs. In the prequel, we made this norm mathematically precise; in this paper, we derive its consequences. We show that the two core tenets of Bayesianism (...)
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  • An Objective Justification of Bayesianism I: Measuring Inaccuracy.Hannes Leitgeb & Richard Pettigrew - 2010 - Philosophy of Science 77 (2):201-235.
    One of the fundamental problems of epistemology is to say when the evidence in an agent’s possession justifies the beliefs she holds. In this paper and its sequel, we defend the Bayesian solution to this problem by appealing to the following fundamental norm: Accuracy An epistemic agent ought to minimize the inaccuracy of her partial beliefs. In this paper, we make this norm mathematically precise in various ways. We describe three epistemic dilemmas that an agent might face if she attempts (...)
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  • Estimating Large Numbers.David Landy, Noah Silbert & Aleah Goldin - 2013 - Cognitive Science 37 (5):775-799.
    Despite their importance in public discourse, numbers in the range of 1 million to 1 trillion are notoriously difficult to understand. We examine magnitude estimation by adult Americans when placing large numbers on a number line and when qualitatively evaluating descriptions of imaginary geopolitical scenarios. Prior theoretical conceptions predict a log-to-linear shift: People will either place numbers linearly or will place numbers according to a compressive logarithmic or power-shaped function (Barth & Paladino, ; Siegler & Opfer, ). While about half (...)
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  • Probability and Evidence.Paul Horwich - 1973 - Philosophical Review 82 (4):547.
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  • A surprise for Horwich (and some advocates of the fine-tuning argument (which does not include Horwich (as far as I know))).David Harker - 2012 - Philosophical Studies 161 (2):247-261.
    The judgment that a given event is epistemically improbable is necessary but insufficient for us to conclude that the event is surprising. Paul Horwich has argued that surprising events are, in addition, more probable given alternative background assumptions that are not themselves extremely improbable. I argue that Horwich’s definition fails to capture important features of surprises and offer an alternative definition that accords better with intuition. An important application of Horwich’s analysis has arisen in discussions of fine-tuning arguments. In the (...)
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  • A bayesian approach in the philosophy of inference. [REVIEW]I. J. Good - 1984 - British Journal for the Philosophy of Science 35 (2):161-166.
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  • The Sweep of Probability.George N. Schlesinger - 1991
    The Sweep of Probability broadly surveys this burgeoning field of philosophical inquiry. The book is unique because it engages the reader in contemporary debates about a variety of issues in probability theory without requiring a background in probability and mathematics. It also illustrates how the concerns of probability relate not only to philosophical inquiry but to aspects of everyday life. The primary aim of this book, claims George N.Schlesinger in the introduction, is to illustrate, by discussing a wide variety of (...)
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  • Probability and Evidence.Paul Horwich - 1985 - Erkenntnis 23 (2):213-219.
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  • Probability and Evidence.Paul Horwich - 1982 - Tijdschrift Voor Filosofie 47 (4):687-688.
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  • The Collected Papers of Charles Sanders Peirce.Charles Sanders Peirce, Charles Hartshorne & Paul Weiss - 1933 - International Journal of Ethics 43 (2):220-226.
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  • Truthlikeness.G. Oddie - 2008 - In Martin P. Curd (ed.), The Routledge Companion to Philosophy of Science. pp. 478--488.
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  • Conjectures and Refutations.K. Popper - 1963 - Les Etudes Philosophiques 21 (3):431-434.
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