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  1. Physique, information statistique et complexité algorithmique.Pierre Uzan - 2007 - Philosophia Scientiae 11 (2):121-162.
    Le lien entre physique et information est analysé et les limites conceptuelles et techniques de l’utilisation de la notion statistique d’information (-connaissance) en physique sont mises en évidence. Nous montrons que ces problèmes peuvent être résolus de façon satisfaisante en utilisant une notion d’information structurelle dont la mesure nous est donnée en terme de complexité algorithmique. Ce qui rend alors possible la construction d’une véritable « thermodynamique » de l’information fondée sur le concept d’information structurelle. Abstract: The relationship between physics (...)
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  • Compendium of the foundations of classical statistical physics.Jos Uffink - 2006 - In J. Butterfield & J. Earman (eds.), Handbook of the philosophy of physics. Kluwer Academic Publishers.
    Roughly speaking, classical statistical physics is the branch of theoretical physics that aims to account for the thermal behaviour of macroscopic bodies in terms of a classical mechanical model of their microscopic constituents, with the help of probabilistic assumptions. In the last century and a half, a fair number of approaches have been developed to meet this aim. This study of their foundations assesses their coherence and analyzes the motivations for their basic assumptions, and the interpretations of their central concepts. (...)
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  • Information vs. entropy vs. probability.Orly Shenker - 2019 - European Journal for Philosophy of Science 10 (1):1-25.
    Information, entropy, probability: these three terms are closely interconnected in the prevalent understanding of statistical mechanics, both when this field is taught to students at an introductory level and in advanced research into the field’s foundations. This paper examines the interconnection between these three notions in light of recent research in the foundations of statistical mechanics. It disentangles these concepts and highlights their differences, at the same time explaining why they came to be so closely linked in the literature. In (...)
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  • Time in Thermodynamics.Jill North - 2011 - In Craig Callender (ed.), The Oxford Handbook of Philosophy of Time. Oxford University Press. pp. 312--350.
    Or better: time asymmetry in thermodynamics. Better still: time asymmetry in thermodynamic phenomena. “Time in thermodynamics” misleadingly suggests that thermodynamics will tell us about the fundamental nature of time. But we don’t think that thermodynamics is a fundamental theory. It is a theory of macroscopic behavior, often called a “phenomenological science.” And to the extent that physics can tell us about the fundamental features of the world, including such things as the nature of time, we generally think that only fundamental (...)
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  • (2 other versions)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. Ashgate. pp. 99-196.
    This is an extensive review of recent work on the foundations of statistical mechanics.
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  • Informational branching universe.Pierre Uzan - 2010 - Foundations of Science 15 (1):1-28.
    This paper suggests an epistemic interpretation of Belnap’s branching space-times theory based on Everett’s relative state formulation of the measurement operation in quantum mechanics. The informational branching models of the universe are evolving structures defined from a partial ordering relation on the set of memory states of the impersonal observer. The totally ordered set of their information contents defines a linear “time” scale to which the decoherent alternative histories of the informational universe can be referred—which is quite necessary for assigning (...)
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