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  1. Defining chaos.Robert W. Batterman - 1993 - Philosophy of Science 60 (1):43-66.
    This paper considers definitions of classical dynamical chaos that focus primarily on notions of predictability and computability, sometimes called algorithmic complexity definitions of chaos. I argue that accounts of this type are seriously flawed. They focus on a likely consequence of chaos, namely, randomness in behavior which gets characterized in terms of the unpredictability or uncomputability of final given initial states. In doing so, however, they can overlook the definitive feature of dynamical chaos--the fact that the underlying motion generating the (...)
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  • Subjective probability : criticisms, reflections and problems. [REVIEW]Henry E. Kyburg Jr - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge. pp. 157 - 180.
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  • In Defence of Objective Bayesianism.Jon Williamson - 2010 - Oxford University Press.
    Objective Bayesianism is a methodological theory that is currently applied in statistics, philosophy, artificial intelligence, physics and other sciences. This book develops the formal and philosophical foundations of the theory, at a level accessible to a graduate student with some familiarity with mathematical notation.
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  • Statistical Reasoning with Imprecise Probabilities.Peter Walley - 1991 - Chapman & Hall.
    An examination of topics involved in statistical reasoning with imprecise probabilities. The book discusses assessment and elicitation, extensions, envelopes and decisions, the importance of imprecision, conditional previsions and coherent statistical models.
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  • .Charlotte Werndl & Roman Frigg - 2016
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  • What Are the New Implications of Chaos for Unpredictability?Charlotte Werndl - 2009 - British Journal for the Philosophy of Science 60 (1):195-220.
    From the beginning of chaos research until today, the unpredictability of chaos has been a central theme. It is widely believed and claimed by philosophers, mathematicians and physicists alike that chaos has a new implication for unpredictability, meaning that chaotic systems are unpredictable in a way that other deterministic systems are not. Hence, one might expect that the question ‘What are the new implications of chaos for unpredictability?’ has already been answered in a satisfactory way. However, this is not the (...)
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  • Explaining Chaos.Lawrence Sklar - 2001 - Philosophical Review 110 (2):289.
    Explaining Chaos provides both a succinct and accurate introduction to the physics and mathematics of chaotic dynamical systems along with a number of pertinent philosophical commentaries on the scientific results. The book provides the clearest and most sensible treatment of chaos theory from a philosophical perspective available in the literature.
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  • On indeterminate probabilities.Isaac Levi - 1974 - Journal of Philosophy 71 (13):391-418.
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  • On Indeterminate Probabilities.Isaac Levi - 1978 - Journal of Philosophy 71 (13):233--261.
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  • Subjective probability: Criticisms, reflections, and problems.H. Kyburg - 1978 - Journal of Philosophical Logic 7 (1):157 - 180.
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  • The Myopia of Imperfect Climate Models: The Case of UKCP09.Roman Frigg, Leonard A. Smith & David A. Stainforth - 2013 - Philosophy of Science 80 (5):886-897.
    The United Kingdom Climate Impacts Program’s UKCP09 project makes high-resolution forecasts of climate during the 21st century using state of the art global climate models. The aim of this paper is to introduce and analyze the methodology used and then urge some caution. Given the acknowledged systematic errors in all current climate models, treating model outputs as decision relevant probabilistic forecasts can be seriously misleading. This casts doubt on our ability, today, to make trustworthy, high-resolution predictions out to the end (...)
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  • Demystifying Typicality.Roman Frigg & Charlotte Werndl - 2012 - Philosophy of Science 79 (5):917-929.
    A gas prepared in a non-equilibrium state will approach equilibrium and stay there. An influential contemporary approach to Statistical Mechanics explains this behaviour in terms of typicality. However, this explanation has been criticised as mysterious as long as no connection with the dynamics of the system is established. We take this criticism as our point of departure. Our central claim is that Hamiltonians of gases which are epsilon-ergodic are typical with respect to the Whitney topology. Because equilibrium states are typical, (...)
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  • Explaining Chaos.Peter Smith - 1998 - Cambridge University Press.
    Chaotic dynamics has been hailed as the third great scientific revolution in physics this century, comparable to relativity and quantum mechanics. In this book, Peter Smith takes a cool, critical look at such claims. He cuts through the hype and rhetoric by explaining some of the basic mathematical ideas in a clear and accessible way, and by carefully discussing the methodological issues which arise. In particular, he explores the new kinds of explanation of empirical phenomena which modern dynamics can deliver. (...)
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  • A Primer on Determinism.John Earman - 1986 - D. Reidel.
    Determinism is a perennial topic of philosophical discussion. Very little acquaintance with the philosophical literature is needed to reveal the Tower of ...
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  • Dutch Book Arguments and Imprecise Probabilities.Seamus Bradley - 2012 - In Dennis Dieks, Stephan Hartmann, Michael Stoeltzner & Marcel Weber (eds.), Probabilities, Laws and Structures. Springer.
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  • Explaining Chaos.Peter Smith - 2000 - Philosophical Quarterly 50 (198):126-128.
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  • Upper and Lower Probabilities induced by a Multi- valued Mapping.Arthur Dempster - 1967 - Annals of Mathematical Statistics 38:325-339.
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