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  1. Temporally asymmetric inference in a Markov process.Elliott Sober - 1991 - Philosophy of Science 58 (3):398-410.
    A model of a Markov process is presented in which observing the present state of a system is asymmetrically related to inferring the system's future and inferring its past. A likelihood inference about the system's past state, based on observing its present state, is justified no matter what the parameter values in the model happen to be. In contrast, a probability inference of the system's future state, based on observing its present state, requires further information about the parameter values.
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  • The Direction of Time.Steven F. Savitt - 1996 - British Journal for the Philosophy of Science 47 (3):347-370.
    The aim of this essay is to introduce philosophers of science to some recent philosophical discussions of the nature and origin of the direction of time. The essay is organized around books by Hans Reichenbach, Paul Horwich, and Huw Price. I outline their major arguments and treat certain critical points in detail. I speculate at the end about the ways in which the subject may continue to develop and in which it may connect with other areas of philosophy.
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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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  • The use of information theory in epistemology.William F. Harms - 1998 - Philosophy of Science 65 (3):472-501.
    Information theory offers a measure of "mutual information" which provides an appropriate measure of tracking efficiency for the naturalistic epistemologist. The statistical entropy on which it is based is arguably the best way of characterizing the uncertainty associated with the behavior of a system, and it is ontologically neutral. Though not appropriate for the naturalization of meaning, mutual information can serve as a measure of epistemic success independent of semantic maps and payoff structures. While not containing payoffs as terms, mutual (...)
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  • Hard presentism.Patrick Dawson - 2020 - Synthese 198 (9):8433-8461.
    Presentists believe that only present things exist. Their theories, at first glance, seem to offer many admirable features: a simple ontology, and a meaningful, objective status for key temporal phenomena, such as the present moment and the passage of time. So intuitive is this theory that, as John Bigelow puts it, presentism was “believed by everyone...until at least the nineteenth century”. Yet, in the last 200 years presentism has been beset by criticisms from both physicists and metaphysicians. One of the (...)
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  • A field guide to recent work on the foundations of statistical mechanics.Roman Frigg - 2008 - In Dean Rickles (ed.), The Ashgate Companion to Contemporary Philosophy of Physics. London, U.K.: Ashgate. pp. 99-196.
    This is an extensive review of recent work on the foundations of statistical mechanics.
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