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  1. Block Fitness.Grant Ramsey - 2006 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 37 (3):484-498.
    There are three related criteria that a concept of fitness should be able to meet: it should render the principle of natural selection non-tautologous and it should be explanatory and predictive. I argue that for fitness to be able to fulfill these criteria, it cannot be a property that changes over the course of an individual's life. Rather, I introduce a fitness concept--Block Fitness--and argue that an individual's genes and environment fix its fitness in such a way that each individual's (...)
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  • Adaptation and Evolutionary Theory.Robert N. Brandon - 1978 - Studies in History and Philosophy of Science Part A 9 (3):181.
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  • Propensities may satisfy Bayes's theorem.David Miller - 2002 - In Miller David (ed.), Bayes's Theorem. pp. 111-116.
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  • The Propensity Interpretation of Fitness and the Propensity Interpretation of Probability.Isabelle Drouet & Francesca Merlin - 2015 - Erkenntnis 80 (S3):457-468.
    The paper provides a new critical perspective on the propensity interpretation of fitness, by investigating its relationship to the propensity interpretation of probability. Two main conclusions are drawn. First, the claim that fitness is a propensity cannot be understood properly: fitness is not a propensity in the sense prescribed by the propensity interpretation of probability. Second, this interpretation of probability is inessential for explanations proposed by the PIF in evolutionary biology. Consequently, interpreting the probabilistic dimension of fitness in terms of (...)
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  • A New Foundation for the Propensity Interpretation of Fitness.Charles H. Pence & Grant Ramsey - 2013 - British Journal for the Philosophy of Science 64 (4):851-881.
    The propensity interpretation of fitness (PIF) is commonly taken to be subject to a set of simple counterexamples. We argue that three of the most important of these are not counterexamples to the PIF itself, but only to the traditional mathematical model of this propensity: fitness as expected number of offspring. They fail to demonstrate that a new mathematical model of the PIF could not succeed where this older model fails. We then propose a new formalization of the PIF that (...)
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  • Probabilistic Explanations.James H. Fetzer - 1982 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:194-207.
    The purpose of this paper is to provide a systematic defense of the single-case propensity account of probabilistic explanation from the criticisms advanced by Hanna and by Humphreys and to offer a critical appraisal of the aleatory conception advanced by Humphreys and of the deductive-nomological-probabilistic approach Railton has proposed. The principal conclusion supported by this analysis is that the Requirements of Maximal Specificity and of Strict Maximal Specificity afford the foundation for completely objective explanations of probabilistic explananda, so long as (...)
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  • A Priori Causal Models of Natural Selection.Elliott Sober - 2011 - Australasian Journal of Philosophy 89 (4):571 - 589.
    To evaluate Hume's thesis that causal claims are always empirical, I consider three kinds of causal statement: ?e1 caused e2 ?, ?e1 promoted e2 ?, and ?e1 would promote e2 ?. Restricting my attention to cases in which ?e1 occurred? and ?e2 occurred? are both empirical, I argue that Hume was right about the first two, but wrong about the third. Standard causal models of natural selection that have this third form are a priori mathematical truths. Some are obvious, others (...)
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  • (1 other version)Chasing shadows: Natural selection and adaptation.D. M. Walsh - 2000 - Studies in History and Philosophy of Science Part A 31 (1):135-53.
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  • Probabilistic measures of causal strength.Branden Fitelson & Christopher Hitchcock - 2011 - In Phyllis McKay Illari Federica Russo (ed.), Causality in the Sciences. Oxford University Press. pp. 600--627.
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  • Fisher’s Fundamental Theorem of Natural Selection--A Philosophical Analysis.Samir Okasha - 2008 - British Journal for the Philosophy of Science 59 (3):319-351.
    This paper provides a philosophical analysis of the ongoing controversy surrounding R.A. Fisher's famous ‘fundamental theorem’ of natural selection. The difference between the ‘traditional’ and ‘modern’ interpretations of the theorem is explained. I argue that proponents of the modern interpretation have captured Fisher's intended meaning correctly and shown that the theorem is mathematically correct, pace the traditional consensus. However, whether the theorem has any real biological significance remains an unresolved issue. I argue that the answer depends on whether we accept (...)
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  • (1 other version)Interpretations of probability.Alan Hájek - 2007 - Stanford Encyclopedia of Philosophy.
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  • Evolutionary theory and the ontological status of properties.Elliott Sober - 1981 - Philosophical Studies 40 (2):147 - 176.
    Quine has developed two reasons for thinking that our ontology should not include the ontological category of properties. His first point is that the criterion for individuating properties is unclear, and the second is that postulating the existence of properties would not explain anything. In what follows I critically examine these two themes, which I will call the clarity argument and the parsimony argument. Although I will suggest that these two arguments are defective, I also will try to show that (...)
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  • Natural selection as a population-level causal process.Roberta L. Millstein - 2006 - British Journal for the Philosophy of Science 57 (4):627-653.
    Recent discussions in the philosophy of biology have brought into question some fundamental assumptions regarding evolutionary processes, natural selection in particular. Some authors argue that natural selection is nothing but a population-level, statistical consequence of lower-level events (Matthen and Ariew [2002]; Walsh et al. [2002]). On this view, natural selection itself does not involve forces. Other authors reject this purely statistical, population-level account for an individual-level, causal account of natural selection (Bouchard and Rosenberg [2004]). I argue that each of these (...)
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  • The trials of life: Natural selection and random drift.Denis M. Walsh, Andre Ariew & Tim Lewens - 2002 - Philosophy of Science 69 (3):452-473.
    We distinguish dynamical and statistical interpretations of evolutionary theory. We argue that only the statistical interpretation preserves the presumed relation between natural selection and drift. On these grounds we claim that the dynamical conception of evolutionary theory as a theory of forces is mistaken. Selection and drift are not forces. Nor do selection and drift explanations appeal to the (sub-population-level) causes of population level change. Instead they explain by appeal to the statistical structure of populations. We briefly discuss the implications (...)
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  • The pomp of superfluous causes: The interpretation of evolutionary theory.Denis M. Walsh - 2007 - Philosophy of Science 74 (3):281-303.
    There are two competing interpretations of the modern synthesis theory of evolution: the dynamical (also know as ‘traditional’) and the statistical. The dynamical interpretation maintains that explanations offered under the auspices of the modern synthesis theory articulate the causes of evolution. It interprets selection and drift as causes of population change. The statistical interpretation holds that modern synthesis explanations merely cite the statistical structure of populations. This paper offers a defense of statisticalism. It argues that a change in trait frequencies (...)
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  • Selection, drift, and the “forces” of evolution.Christopher Stephens - 2004 - Philosophy of Science 71 (4):550-570.
    Recently, several philosophers have challenged the view that evolutionary theory is usefully understood by way of an analogy with Newtonian mechanics. Instead, they argue that evolutionary theory is merely a statistical theory. According to this alternate approach, natural selection and random genetic drift are not even causes, much less forces. I argue that, properly understood, the Newtonian analogy is unproblematic and illuminating. I defend the view that selection and drift are causes in part by attending to a pair of important (...)
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  • (1 other version)The propensity interpretation of probability.Karl R. Popper - 1959 - British Journal for the Philosophy of Science 10 (37):25-42.
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  • (1 other version)Why propensities cannot be probabilities.Paul Humphreys - 1985 - Philosophical Review 94 (4):557-570.
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  • (2 other versions)Mathematical truth.Paul Benacerraf - 1973 - Journal of Philosophy 70 (19):661-679.
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  • Epiphenomenalism - the do's and the don 'ts'.Lawrence A. Shapiro & Elliott Sober - 2006 - In G. Wolters & Peter K. Machamer (eds.), Thinking about Causes: From Greek Philosophy to Modern Physics. University of Pittsburgh Press. pp. 235-264.
    When philosophers defend epiphenomenalist doctrines, they often do so by way of a priori arguments. Here we suggest an empirical approach that is modeled on August Weismann’s experimental arguments against the inheritance of acquired characters. This conception of how epiphenomenalism ought to be developed helps clarify some mistakes in two recent epiphenomenalist positions – Jaegwon Kim’s (1993) arguments against mental causation, and the arguments developed by Walsh (2000), Walsh, Lewens, and Ariew (2002), and Matthen and Ariew (2002) that natural selection (...)
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  • Objective single-case probabilities and the foundations of statistics.Ronald N. Giere - 2010 - In Antony Eagle (ed.), Philosophy of Probability: Contemporary Readings. New York: Routledge.
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  • The two faces of fitness.Elliott Sober - manuscript
    The concept of fitness began its career in biology long before evolutionary theory was mathematized. Fitness was used to describe an organism’s vigor, or the degree to which organisms “fit” into their environments. An organism’s success in avoiding predators and in building a nest obviously contribute to its fitness and to the fitness of its offspring, but the peacock’s gaudy tail seemed to be in an entirely different line of work. Fitness, as a term in ordinary language (as in “physical (...)
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  • The propensity interpretation of fitness.Susan K. Mills & John H. Beatty - 1979 - Philosophy of Science 46 (2):263-286.
    The concept of "fitness" is a notion of central importance to evolutionary theory. Yet the interpretation of this concept and its role in explanations of evolutionary phenomena have remained obscure. We provide a propensity interpretation of fitness, which we argue captures the intended reference of this term as it is used by evolutionary theorists. Using the propensity interpretation of fitness, we provide a Hempelian reconstruction of explanations of evolutionary phenomena, and we show why charges of circularity which have been levelled (...)
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