Citations of
Jonah N. Schupbach (2011). New Hope for Shogenji's Coherence Measure.

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  1.  25
    Probabilistic Coherence Measures: A Psychological Study of Coherence Assessment.Jakob Koscholke & Marc Jekel - forthcoming - Synthese:1-20.
    Over the years several non-equivalent probabilistic measures of coherence have been discussed in the philosophical literature. In this paper we examine these measures with respect to their empirical adequacy. Using test cases from the coherence literature as vignettes for psychological experiments we investigate whether the measures can predict the subjective coherence assessments of the participants. It turns out that the participants’ coherence assessments are best described by Roche’s coherence measure based on Douven and Meijs’ average mutual support approach and the (...)
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  2.  33
    Against Relative Overlap Measures of Coherence.Jakob Koscholke & Michael Schippers - forthcoming - Synthese:1-10.
    Coherence is the property of propositions hanging or fitting together. Intuitively, adding a proposition to a set of propositions should be compatible with either increasing or decreasing the set’s degree of coherence. In this paper we show that probabilistic coherence measures based on relative overlap are in conflict with this intuitive verdict. More precisely, we prove that according to the naive overlap measure it is impossible to increase a set’s degree of coherence by adding propositions and that according to the (...)
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  3.  14
    Information and Inaccuracy.William Roche & Tomoji Shogenji - forthcoming - British Journal for the Philosophy of Science:axw025.
    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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  4.  9
    Bayesian Coherentism]Bayesian Coherentism and the Problem of Measure Sensitivity.Michael Schippers - forthcoming - Logic Journal of the IGPL:jzw028.
  5.  29
    Evaluating Test Cases for Probabilistic Measures of Coherence.Jakob Koscholke - 2016 - Erkenntnis 81 (1):155-181.
    How can we determine the adequacy of a probabilistic coherence measure? A widely accepted approach to this question besides formulating adequacy constraints is to employ paradigmatic test cases consisting of a scenario providing a joint probability distribution over some specified set of propositions coupled with a normative coherence assessment for this set. However, despite the popularity of the test case approach, a systematic evaluation of the proposed test cases is still missing. This paper’s aim is to change this. Using a (...)
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  6.  31
    Coherence, Muller’s Ratchet, and the Maintenance of Culture.Marshall Abrams - 2015 - Philosophy of Science 82 (5):983-996.
    I investigate the structure of an argument that culture cannot be maintained in a population if each individual learns only from a single person. This appears to conflict with many models of cultural transmission and real-world cases. I resolve the first problem by showing that one of the models central to the argument is conceptually analogous and mathematically equivalent to one used to investigate the evolution of sexual reproduction. I resolve the second by arguing that probabilistic models of epistemological coherence (...)
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  7.  32
    Keynes’s Coefficient of Dependence Revisited.Peter Brössel - 2015 - Erkenntnis 80 (3):521-553.
    Probabilistic dependence and independence are among the key concepts of Bayesian epistemology. This paper focuses on the study of one specific quantitative notion of probabilistic dependence. More specifically, section 1 introduces Keynes’s coefficient of dependence and shows how it is related to pivotal aspects of scientific reasoning such as confirmation, coherence, the explanatory and unificatory power of theories, and the diversity of evidence. The intimate connection between Keynes’s coefficient of dependence and scientific reasoning raises the question of how Keynes’s coefficient (...)
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  8. Bayesian Cognitive Science, Unification, and Explanation.Stephan Hartmann & Matteo Colombo - 2015 - British Journal for the Philosophy of Science:axv036.
    It is often claimed that the greatest value of the Bayesian framework in cognitive science consists in its unifying power. Several Bayesian cognitive scientists assume that unification is obviously linked to explanatory power. But this link is not obvious, as unification in science is a heterogeneous notion, which may have little to do with explanation. While a crucial feature of most adequate explanations in cognitive science is that they reveal aspects of the causal mechanism that produces the phenomenon to be (...)
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  9.  11
    Robustness Analysis Versus Reliable Process Reasoning.Chiara Lisciandra - 2015 - Metascience 24 (1):37-41.
    Robert Hudson’s book is a contribution to the recent debate on robustness analysis in scientific practice, with a specific focus on the empirical sciences. In this context, robustness analysis is defined as a way to increase the probability of a certain hypothesis by showing that the same result is obtained from several, alternative methods. The rationale underlying this practice is that it would be highly unlikely if different, independent means of observation provided the same wrong outcome.We do not believe in (...)
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  10.  41
    Experimental Explication.Jonah N. Schupbach - 2015 - Philosophy and Phenomenological Research 91 (2).
    Two recently popular metaphilosophical movements, formal philosophy and experimental philosophy, promote what seem to be conflicting methodologies. Nonetheless, I argue that the two can be mutually supportive. I propose an experimentally-informed variation on explication, a powerful formal philosophical tool introduced by Carnap. The resulting method, which I call “experimental explication,” provides the formalist with a means of responding to explication's gravest criticism. Moreover, this method introduces a philosophically salient, positive role for survey-style experiments while steering clear of several objections that (...)
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  11.  30
    On the Truth-Conduciveness of Coherence.William Roche - 2014 - Erkenntnis 79:647-665.
    I argue that coherence is truth-conducive in that coherence implies an increase in the probability of truth. Central to my argument is a certain principle for transitivity in probabilistic support. I then address a question concerning the truth-conduciveness of coherence as it relates to (something else I argue for) the truth-conduciveness of consistency, and consider how the truth-conduciveness of coherence bears on coherentist theories of justification.
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  12.  69
    Coherence, Probability and Explanation.William Roche & Michael Schippers - 2014 - Erkenntnis 79 (4):821-828.
    Recently there have been several attempts in formal epistemology to develop an adequate probabilistic measure of coherence. There is much to recommend probabilistic measures of coherence. They are quantitative and render formally precise a notion—coherence—notorious for its elusiveness. Further, some of them do very well, intuitively, on a variety of test cases. Siebel, however, argues that there can be no adequate probabilistic measure of coherence. Take some set of propositions A, some probabilistic measure of coherence, and a probability distribution such (...)
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  13.  47
    Coherence, Striking Agreement, and Reliability.Michael Schippers - 2014 - Synthese 191 (15):3661-3684.
    Striving for a probabilistic explication of coherence, scholars proposed a distinction between agreement and striking agreement. In this paper I argue that only the former should be considered a genuine concept of coherence. In a second step the relation between coherence and reliability is assessed. I show that it is possible to concur with common intuitions regarding the impact of coherence on reliability in various types of witness scenarios by means of an agreement measure of coherence. Highlighting the need to (...)
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  14.  12
    Incoherence and Inconsistency.Michael Schippers - 2014 - Review of Symbolic Logic 7 (3):511-528.
  15.  51
    Probabilistic Measures of Coherence: From Adequacy Constraints Towards Pluralism.Michael Schippers - 2014 - Synthese 191 (16):3821-3845.
    The debate on probabilistic measures of coherence flourishes for about 15 years now. Initiated by papers that have been published around the turn of the millennium, many different proposals have since then been put forward. This contribution is partly devoted to a reassessment of extant coherence measures. Focusing on a small number of reasonable adequacy constraints I show that (i) there can be no coherence measure that satisfies all constraints, and that (ii) subsets of these adequacy constraints motivate two different (...)
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  16.  6
    Structural Properties of Qualitative and Quantitative Accounts to Coherence.Michael Schippers - 2014 - Review of Symbolic Logic 7 (3):579-598.
  17.  69
    New Axioms for Probability and Likelihood Ratio Measures.V. Crupi, N. Chater & K. Tentori - 2013 - British Journal for the Philosophy of Science 64 (1):189-204.
    Probability ratio and likelihood ratio measures of inductive support and related notions have appeared as theoretical tools for probabilistic approaches in the philosophy of science, the psychology of reasoning, and artificial intelligence. In an effort of conceptual clarification, several authors have pursued axiomatic foundations for these two families of measures. Such results have been criticized, however, as relying on unduly demanding or poorly motivated mathematical assumptions. We provide two novel theorems showing that probability ratio and likelihood ratio measures can be (...)
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  18.  5
    Confirmation as Partial Entailment: A Representation Theorem in Inductive Logic.Vincenzo Crupi & Katya Tentori - 2013 - Journal of Applied Logic 11 (4):364-372.
  19.  81
    Irrelevant Conjunction and the Ratio Measure or Historical Skepticism.J. Brian Pitts - 2013 - Synthese 190 (12):2117-2139.
    It is widely believed that one should not become more confident that all swans are white and all lions are brave simply by observing white swans. Irrelevant conjunction or “tacking” of a theory onto another is often thought problematic for Bayesianism, especially given the ratio measure of confirmation considered here. It is recalled that the irrelevant conjunct is not confirmed at all. Using the ratio measure, the irrelevant conjunction is confirmed to the same degree as the relevant conjunct, which, it (...)
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  20.  45
    Coherence of the Contents and the Transmission of Probabilistic Support.Tomoji Shogenji - 2013 - Synthese 190 (13):2525-2545.
    This paper examines how coherence of the contents of evidence affects the transmission of probabilistic support from the evidence to the hypothesis. It is argued that coherence of the contents in the sense of the ratio of the positive intersection reduces the transmission of probabilistic support, though this negative impact of coherence may be offset by other aspects of the relations among the contents. It is argued further that there is no broader conception of coherence whose impact on the transmission (...)
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  21. Walter the Banker: The Conjunction Fallacy Reconsidered. [REVIEW]Stephan Hartmann & Wouter Meijs - 2012 - Synthese 184 (1):73-87.
    In a famous experiment by Tversky and Kahneman (Psychol Rev 90:293–315, 1983), featuring Linda the bank teller, the participants assign a higher probability to a conjunction of propositions than to one of the conjuncts, thereby seemingly committing a probabilistic fallacy. In this paper, we discuss a slightly different example featuring someone named Walter, who also happens to work at a bank, and argue that, in this example, it is rational to assign a higher probability to the conjunction of suitably chosen (...)
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