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Philosophy and Probability

Oxford, England: Oxford University Press (2013)

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  1. Understanding probability: Darrell Rowbottom: Probability. Cambridge and Malden: Polity Press, 2015, 180pp, $64.95 HB, $22.95 PB.Justin Dallmann - 2016 - Metascience 25 (2):331-333.
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  • A Brief on Husserl and Bayesian Perceptual Updating.Kenneth Williford - 2017 - Axiomathes 27 (5):503-519.
    I aim to provide some evidence that Husserl’s description of perceptual updating actually fits very nicely into the Bayesian Brain paradigm, articulated by Karl Friston and others, and that that paradigm, in turn, can be taken as an excellent example of “Neurophenomenology”. The apparently un-phenomenological Helmholtzian component of the Bayesian Brain paradigm, according to which what one consciously seems to see is a product of unconscious causal reasoning to the best explanation of one’s sensory stimulations, can be finessed, I claim, (...)
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  • Probabilistic kingdom: problem of objectivity in contemporary science.Paweł Pruski - 2019 - Argument: Biannual Philosophical Journal 9 (2):317-327.
    In modern science, the theory of probability is one of the basic tools. Scientists using probability often refer to its objective interpretation. They emphasize that their probabilistic hypotheses concern objective facts, not degrees of belief. Accordingly, the following questions arise: What is the meaning of this type of probabilistic hypothesis? Is the assumption of objectivity necessary? The paper addresses these questions by analyzing objective probability in the context of the scientific debate on determinism. Two types of arguments will be presented. (...)
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  • Carnap’s Logical Probability and Free Will Dilemma.Paweł Pruski - 2022 - Open Journal of Philosophy 12 (1):133-145.
    Pondering the question of free will in the context of probability allows us to take a fresh look at a number of old problems. We are able to avoid deterministic entrapments and attempt to look at free will as an outcome of the entire decision-making system. In my paper, I will argue that free will should be considered in the context of a complex system of decisions, not individual cases. The proposed system will be probabilistic in character, so it will (...)
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  • Powers, Probabilities, and Tendencies.Michele Paolini Paoletti - 2022 - Philosophia 50 (4):2035-2067.
    In this article, I aim at showing how powers may ground different types of probability in the universe. In Section 1 I single out several dimensions along which the probability of something can be determined. Each of such dimensions can be further specified at the type-level or at the token-level. In Section 2 I introduce some metaphysical assumptions about powers. In Section 3 I show how powers can ground single-case probabilities and frequency-probabilities in a deterministic setting. Later on, in Section (...)
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  • A Refined Propensity Account for GRW Theory.Lorenzo Lorenzetti - 2021 - Foundations of Physics 51 (2):1-20.
    Spontaneous collapse theories of quantum mechanics turn the usual Schrödinger equation into a stochastic dynamical law. In particular, in this paper, I will focus on the GRW theory. Two philosophical issues that can be raised about GRW concern (i) the ontology of the theory, in particular the nature of the wave function and its role within the theory, and (ii) the interpretation of the objective probabilities involved in the dynamics of the theory. During the last years, it has been claimed (...)
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  • Evolutionary debunking: the Milvian Bridge destabilized.Christos Kyriacou - 2019 - Synthese 196 (7):2695-2713.
    Recent literature has paid attention to a demarcation problem for evolutionary debunking arguments. This is the problem of asking in virtue of what regulative metaepistemic norm evolutionary considerations either render a belief justified, or debunk it as unjustified. I examine the so-called ‘Milvian Bridge principle’ A new science of religion, Routledge, New York, 2012; Sloan, McKenny, Eggelson Darwin in the 21st century: nature, humanity, and God, University Press, Notre Dame, 2015)), which offers exactly such a called for regulative metaepistemic norm. (...)
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  • Interpretations of probability.Alan Hájek - 2007 - Stanford Encyclopedia of Philosophy.
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