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How not to argue for the indeterminism of evolution: A look at two recent attempts to settle the issue

In Andreas Hüttemann (ed.), Determinism in Physics and Biology. Mentis (2002)

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  1. Probability in Biology: The Case of Fitness.Roberta L. Millstein - 2016 - In Alan Hájek & Christopher Hitchcock (eds.), The Oxford Handbook of Probability and Philosophy. Oxford: Oxford University Press. pp. 601-622.
    I argue that the propensity interpretation of fitness, properly understood, not only solves the explanatory circularity problem and the mismatch problem, but can also withstand the Pandora’s box full of problems that have been thrown at it. Fitness is the propensity (i.e., probabilistic ability, based on heritable physical traits) for organisms or types of organisms to survive and reproduce in particular environments and in particular populations for a specified number of generations; if greater than one generation, “reproduction” includes descendants of (...)
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  • Thinking about evolutionary mechanisms: Natural selection.Robert Skipper & Roberta Millstein - 2004 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 36 (2):327-347.
    This paper explores whether natural selection, a putative evolutionary mechanism, and a main one at that, can be characterized on either of the two dominant conceptions of mechanism, due to Glennan and the team of Machamer, Darden, and Craver, that constitute the “new mechanistic philosophy.” The results of the analysis are that neither of the dominant conceptions of mechanism adequately captures natural selection. Nevertheless, the new mechanistic philosophy possesses the resources for an understanding of natural selection under the rubric.
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  • Interpretation of Probability in Evolutionary Theory.Ryota Morimoto - 2009 - Kagaku Tetsugaku 42 (1):83-96.
  • Deterministic Probability: Neither chance nor credence.Aidan Lyon - 2011 - Synthese 182 (3):413-432.
    Some have argued that chance and determinism are compatible in order to account for the objectivity of probabilities in theories that are compatible with determinism, like Classical Statistical Mechanics (CSM) and Evolutionary Theory (ET). Contrarily, some have argued that chance and determinism are incompatible, and so such probabilities are subjective. In this paper, I argue that both of these positions are unsatisfactory. I argue that the probabilities of theories like CSM and ET are not chances, but also that they are (...)
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  • Toward a propensity interpretation of stochastic mechanism for the life sciences.Lane DesAutels - 2015 - Synthese 192 (9):2921-2953.
    In what follows, I suggest that it makes good sense to think of the truth of the probabilistic generalizations made in the life sciences as metaphysically grounded in stochastic mechanisms in the world. To further understand these stochastic mechanisms, I take the general characterization of mechanism offered by MDC :1–25, 2000) and explore how it fits with several of the going philosophical accounts of chance: subjectivism, frequentism, Lewisian best-systems, and propensity. I argue that neither subjectivism, frequentism, nor a best-system-style interpretation (...)
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  • Handbook of Evolutionary Thinking in the Sciences.Thomas Heams, Philippe Huneman, Guillaume Lecointre & Marc Silberstein (eds.) - 2015 - Springer.
    The Darwinian theory of evolution is itself evolving and this book presents the details of the core of modern Darwinism and its latest developmental directions. The authors present current scientific work addressing theoretical problems and challenges in four sections, beginning with the concepts of evolution theory, its processes of variation, heredity, selection, adaptation and function, and its patterns of character, species, descent and life. The second part of this book scrutinizes Darwinism in the philosophy of science and its usefulness in (...)
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  • Determinism and the antiquated deontology of the social sciences.Clint Ballinger - unknown
    This article shows how the social sciences rejected hard determinism by the mid-twentieth century largely on the deontological basis that it is irreconcilable with social justice, yet this rejection came just before a burst of creative development in consequentialist theories of social justice that problematize a facile rejection of determinism on moral grounds, a development that has seldom been recognized in the social sciences. Thus the current social science view of determinism and social justice is antiquated, ignoring numerous common and (...)
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