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Collin Rice [9]Collin C. Rice [1]
  1. André Ariew, Collin Rice & Yasha Rohwer (forthcoming). Autonomous-Statistical Explanations and Natural Selection. British Journal for the Philosophy of Science:axt054.
    Shapiro and Sober ([2007]) claim that Walsh, Ariew, Lewens, and Matthen (henceforth WALM) give a mistaken, a priori defense of natural selection and drift as epiphenomenal. Contrary to Shapiro and Sober’s claims, we first argue that WALM’s explanatory doctrine does not require a defense of epiphenomenalism. We then defend WALM’s explanatory doctrine by arguing that the explanations provided by the modern genetical theory of natural selection are ‘autonomous-statistical explanations’ analogous to Galton’s explanation of reversion to mediocrity and an explanation of (...)
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  2. Robert W. Batterman & Collin C. Rice (forthcoming). Minimal Model Explanations. .
    This article discusses minimal model explanations, which we argue are distinct from various causal, mechanical, difference-making, and so on, strategies prominent in the philosophical literature. We contend that what accounts for the explanatory power of these models is not that they have certain features in common with real systems. Rather, the models are explanatory because of a story about why a class of systems will all display the same large-scale behavior because the details that distinguish them are irrelevant. This story (...)
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  3. Collin Rice (2014). Concepts as Pluralistic Hybrids. Philosophy and Phenomenological Research 89 (1).
    In contrast to earlier views that argued for a particular kind of concept (e.g. prototypes), several recent accounts have proposed that there are multiple distinct kinds of concepts, or that there is a plurality of concepts for each category. In this paper, I argue for a novel account of concepts as pluralistic hybrids. According to this view, concepts are pluralistic because there are several concepts for the same category whose use is heavily determined by context. In addition, concepts are hybrids (...)
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  4. Justin Garson, Yasha Rohwer, Collin Rice, Matteo Colombo, Peter Brössel, Davide Rizza, Simon M. Huttegger, Richard Healey, Alyssa Ney & Kathryn Phillips (2013). 10. Referees for Philosophy of Science Referees for Philosophy of Science (Pp. 479-482). Philosophy of Science 80 (3).
     
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  5. Collin Rice (2013). Concept Empiricism, Content, and Compositionality. Philosophical Studies 162 (3):567-583.
    Concepts are the constituents of thoughts. Therefore, concepts are vital to any theory of cognition. However, despite their widely accepted importance, there is little consensus about the nature and origin of concepts. Thanks to the work of Lawrence Barsalou, Jesse Prinz and others concept empiricism has been gaining momentum within the philosophy and psychology literature. Concept empiricism maintains that all concepts are copies, or combinations of copies, of perceptual representations—that is, all concepts are couched in the codes of perceptual representation (...)
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  6. Collin Rice (2013). Moving Beyond Causes: Optimality Models and Scientific Explanation. Noûs 48 (3).
    A prominent approach to scientific explanation and modeling claims that for a model to provide an explanation it must accurately represent at least some of the actual causes in the event's causal history. In this paper, I argue that many optimality explanations present a serious challenge to this causal approach. I contend that many optimality models provide highly idealized equilibrium explanations that do not accurately represent the causes of their target system(s). Furthermore, in many contexts, it is in virtue of (...)
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  7. Yasha Rohwer & Collin Rice (2013). Hypothetical Pattern Idealization and Explanatory Models. Philosophy of Science 80 (3):334-355.
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  8. Collin Rice (2012). Optimality Explanations: A Plea for an Alternative Approach. Biology and Philosophy 27 (5):685-703.
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  9. Collin Rice (2011). Massive Modularity, Content Integration, and Language. Philosophy of Science 78 (5):800-812.
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  10. Collin Rice & Joshua Smart (2011). Interdisciplinary Modeling: A Case Study of Evolutionary Economics. Biology and Philosophy 26 (5):655-675.
    Biologists and economists use models to study complex systems. This similarity between these disciplines has led to an interesting development: the borrowing of various components of model-based theorizing between the two domains. A major recent example of this strategy is economists’ utilization of the resources of evolutionary biology in order to construct models of economic systems. This general strategy has come to be called evolutionary economics and has been a source of much debate among economists. Although philosophers have developed literatures (...)
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