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  1. Robustness, Reliability, and Overdetermination (1981).William C. Wimsatt - 2012 - In Lena Soler (ed.), Characterizing the robustness of science: after the practice turn in philosophy of science. New York: Springer Verlag. pp. 61-78.
    The use of multiple means of determination to “triangulate” on the existence and character of a common phenomenon, object, or result has had a long tradition in science but has seldom been a matter of primary focus. As with many traditions, it is traceable to Aristotle, who valued having multiple explanations of a phenomenon, and it may also be involved in his distinction between special objects of sense and common sensibles. It is implicit though not emphasized in the distinction between (...)
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  • Using false models to elaborate constraints on processes: Blending inheritance in organic and cultural evolution.William C. Wimsatt - 2002 - Proceedings of the Philosophy of Science Association 2002 (S3):S12-S24.
    Scientific models may be more useful for false assumptions they make than true ones when one is interested not in the fit of the model, but in the form of the residuals. Modeling Darwin’s “blending” theory of inheritance shows how it illuminates features of Mendelian theory. Insufficient understanding of it leads to incorrect moves in modeling population structure. But it may prove even more useful for organizing a theory of cultural evolution. Analysis of “blending” inheritance gives new tools for recognizing (...)
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  • Using False Models to Elaborate Constraints on Processes: Blending Inheritance in Organic and Cultural Evolution.William C. Wimsatt - 2002 - Philosophy of Science 69 (S3):S12-S24.
    Scientific models may be more useful for false assumptions they make than true ones when one is interested not in the fit of the model, but in the form of the residuals. Modeling Darwin's “blending” theory of inheritance shows how it illuminates features of Mendelian theory. Insufficient understanding of it leads to incorrect moves in modeling population structure. But it may prove even more useful for organizing a theory of cultural evolution. Analysis of “blending” inheritance gives new tools for recognizing (...)
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  • The nature of selection: evolutionary theory in philosophical focus.Elliott Sober - 1984 - Chicago: University of Chicago Press.
    The Nature of Selection is a straightforward, self-contained introduction to philosophical and biological problems in evolutionary theory. It presents a powerful analysis of the evolutionary concepts of natural selection, fitness, and adaptation and clarifies controversial issues concerning altruism, group selection, and the idea that organisms are survival machines built for the good of the genes that inhabit them. "Sober's is the answering philosophical voice, the voice of a first-rate philosopher and a knowledgeable student of contemporary evolutionary theory. His book merits (...)
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  • Reply to Alexander Rosenberg's Review of The Nature of Selection.Elliott Sober - 1986 - Behaviorism 14 (1):77-88.
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  • Complex systems, trade‐offs, and theoretical population biology: Richard Levin's “strategy of model building in population biology” revisited.Jay Odenbaugh - 2003 - Philosophy of Science 70 (5):1496-1507.
    Ecologist Richard Levins argues population biologists must trade‐off the generality, realism, and precision of their models since biological systems are complex and our limitations are severe. Steven Orzack and Elliott Sober argue that there are cases where these model properties cannot be varied independently of one another. If this is correct, then Levins's thesis that there is a necessary trade‐off between generality, precision, and realism in mathematical models in biology is false. I argue that Orzack and Sober's arguments fail since (...)
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  • Complex systems, trade-offs and mathematical modeling: a response to Sober and Orzack.Jay Odenbaugh - 2003 - Philosophy of Science 70 (5):1496-1507.
    Ecologist Richard Levins argues population biologists must trade-off the generality, realism, and precision of their models since biological systems are complex and our limitations are severe. Steven Orzack and Elliott Sober argue that there are cases where these model properties cannot be varied independently of one another. If this is correct, then Levins's thesis that there is a necessary trade-off between generality, precision, and realism in mathematical models in biology is false. I argue that Orzack and Sober's arguments fail since (...)
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