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  1. Nature's capacities and their measurement.Nancy Cartwright - 1989 - New York: Oxford University Press.
    Ever since David Hume, empiricists have barred powers and capacities from nature. In this book Cartwright argues that capacities are essential in our scientific world, and, contrary to empiricist orthodoxy, that they can meet sufficiently strict demands for testability. Econometrics is one discipline where probabilities are used to measure causal capacities, and the technology of modern physics provides several examples of testing capacities (such as lasers). Cartwright concludes by applying the lessons of the book about capacities and probabilities to the (...)
  • How the laws of physics lie.Nancy Cartwright - 1983 - New York: Oxford University Press.
    In this sequence of philosophical essays about natural science, the author argues that fundamental explanatory laws, the deepest and most admired successes of modern physics, do not in fact describe regularities that exist in nature. Cartwright draws from many real-life examples to propound a novel distinction: that theoretical entities, and the complex and localized laws that describe them, can be interpreted realistically, but the simple unifying laws of basic theory cannot.
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  • Realism, Anti-Foundationalism and the Enthusiasm for Natural Kinds.Richard Boyd - 1991 - Philosophical Studies 61 (1):127-148.
  • Models in Science (2nd edition).Roman Frigg & Stephan Hartmann - 2021 - The Stanford Encyclopedia of Philosophy.
    Models are of central importance in many scientific contexts. The centrality of models such as inflationary models in cosmology, general-circulation models of the global climate, the double-helix model of DNA, evolutionary models in biology, agent-based models in the social sciences, and general-equilibrium models of markets in their respective domains is a case in point (the Other Internet Resources section at the end of this entry contains links to online resources that discuss these models). Scientists spend significant amounts of time building, (...)
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  • Natural kinds.Willard V. Quine - 1969 - In Willard van Orman Quine (ed.), Ontological Relativity and Other Essays. Columbia University Press. pp. 114-38.
     
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  • The Structure of Tradeoffs in Model Building.John Matthewson & Michael Weisberg - 2009 - Synthese 170 (1):169 - 190.
    Despite their best efforts, scientists may be unable to construct models that simultaneously exemplify every theoretical virtue. One explanation for this is the existence of tradeoffs: relationships of attenuation that constrain the extent to which models can have such desirable qualities. In this paper, we characterize three types of tradeoffs theorists may confront. These characterizations are then used to examine the relationships between parameter precision and two types of generality. We show that several of these relationships exhibit tradeoffs and discuss (...)
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  • Three Kinds of Idealization.Michael Weisberg - 2007 - Journal of Philosophy 104 (12):639-659.
    Philosophers of science increasingly recognize the importance of idealization: the intentional introduction of distortion into scientific theories. Yet this recognition has not yielded consensus about the nature of idealization. e literature of the past thirty years contains disparate characterizations and justifications, but little evidence of convergence towards a common position.
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  • Forty years of 'the strategy': Levins on model building and idealization.Michael Weisberg - 2006 - Biology and Philosophy 21 (5):623-645.
    This paper is an interpretation and defense of Richard Levins’ “The Strategy of Model Building in Population Biology,” which has been extremely influential among biologists since its publication 40 years ago. In this article, Levins confronted some of the deepest philosophical issues surrounding modeling and theory construction. By way of interpretation, I discuss each of Levins’ major philosophical themes: the problem of complexity, the brute-force approach, the existence and consequence of tradeoffs, and robustness analysis. I argue that Levins’ article is (...)
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  • The Structure and Confirmation of Evolutionary Theory.Elisabeth Anne Lloyd - 1994 - Princeton University Press.
    Traditionally a scientific theory is viewed as based on universal laws of nature that serve as axioms for logical deduction. In analyzing the logical structure of evolutionary biology, Elisabeth Lloyd argues that the semantic account is more appropriate and powerful. This book will be of interest to biologists and philosophers alike.
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  • Discussion: What, If Anything, Is "The Strategy of Model Building in Population Biology?" A Comment on Levins (1966) and Odenbaugh (2003). [REVIEW]Steven Hecht Orzack - 2003 - Philosophy of Science 72 (3):479-485.
    In our 1993 paper, “A Critical Look,‘ Elliott Sober and I concluded that the famous claim about model formulation and constraints made by Richard Levins in his influential 1966 article on model building in population biology is neither true nor normative. Here, I comment upon the claim of Odenbaugh that the conclusions of “A Critical Look‘ are incorrect. My conclusions remain that Levins’ claim about the tradeoff between model properties lacks logical coherence, generates an arbitrary model classification, and lacks normative (...)
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  • The logical structure of mathematical physics.C. A. Hooker - 1975 - Tijdschrift Voor Filosofie 37 (1):151-152.
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  • Ontological relativity and other essays.Willard Van Orman Quine (ed.) - 1969 - New York: Columbia University Press.
    This volume consists of the first of the John Dewey Lectures delivered under the auspices of Columbia University's Philosophy Department as well as other essays by the author. Intended to clarify the meaning of the philosophical doctrines propounded by Professor Quine in 'Word and Objects', the essays included herein both support and expand those doctrines.
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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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  • Laws of science, theories, measurement: (Comments on Ernest Nagel's the structure of science).Leszek Nowak - 1972 - Philosophy of Science 39 (4):533-548.
    The problem of idealization in empirical sciences is very rarely taken up in works concerned with the methodology of those sciences. It seems to be common knowledge that in advanced natural sciences references are made to concepts such as “perfectly rigid body,” “material point,” “perfect gas,” etc., but it remains a fact that the most important methodological concepts, concepts which have determined the present-day form of the philosophy of science, have been advanced without regard to the peculiarities of the procedure (...)
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  • Galilean Idealization.Ernan McMullin - 1985 - Studies in History and Philosophy of Science Part A 16 (3):247.
  • Explaining Science: A Cognitive Approach by Ronald N. Giere. [REVIEW]Philip Kitcher - 1991 - Journal of Philosophy 88 (3):163-167.
  • Explaining Science: A Cognitive Approach. [REVIEW]Jeffrey S. Poland - 1988 - Philosophical Review 100 (4):653-656.
  • Confirmation and explaining how possible.Patrick Forber - 2010 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 41 (1):32-40.
  • Confirmation and explaining how possible.Patrick Forber - 2010 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 41 (1):32-40.
    Confirmation in evolutionary biology depends on what biologists take to be the genuine rivals. Investigating what constrains the scope of biological possibility provides part of the story: explaining how possible helps determine what counts as a genuine rival and thus informs confirmation. To clarify the criteria for genuine rivalry I distinguish between global and local constraints on biological possibility, and offer an account of how-possibly explanation. To sharpen the connection between confirmation and explaining how possible I discuss the view that (...)
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  • Confirmation and explaining how possible.Patrick Forber - 2008 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 41 (1):32-40.
    Confirmation in evolutionary biology depends on what biologists take to be the genuine rivals. Investigating what constrains the scope of biological possibility provides part of the story: explaining how possible helps determine what counts as a genuine rival and thus informs confirmation. To clarify the criteria for genuine rivalry I distinguish between global and local constraints on biological possibility, and offer an account of how-possibly explanation. To sharpen the connection between confirmation and explaining how possible I discuss the view that (...)
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  • The Disorder of Things: Metaphysical Foundations of the Disunity of Science.John Dupré - 1993 - Harvard University Press.
    With this manifesto, John Dupré systematically attacks the ideal of scientific unity by showing how its underlying assumptions are at odds with the central conclusions of science itself.
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  • Problems and projects.Nelson Goodman (ed.) - 1972 - Indianapolis,: Bobbs-Merrill.
  • Provability, Computability and Reflection.Ernest Nagel, Patrick Suppes & Alfred Tarski (eds.) - 2009 - Stanford, CA, USA: Elsevier.
  • Science and Partial Truth: A Unitary Approach to Models and Scientific Reasoning.Newton C. A. Da Costa & Steven French - 2003 - New York, US: Oup Usa.
    Da Costa and French explore the consequences of adopting a 'pragmatic' notion of truth in the philosophy of science. Their framework sheds new light on issues to do with belief, theory acceptance, and the realism-antirealism debate, as well as the nature of scientific models and their heuristic development.
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  • Idealization XII: Correcting the Model. Idealization and Abstraction in the Sciences.Martin R. Jones & Nancy Cartwright (eds.) - 2005 - Rodopi.
    The principal task of the book series Poznan Studies in the Philosophy of the Sciences and the Humanities is to promote those developments in philosophy that respect the tradition of great philosophical ideas, on the one hand, and the manner of philosophical thinking introduced by analytical philosophy, on the other. The aim is to contribute to practicing philosophy as deep as Marxism and as caring about justification as positivism.
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  • Preludes to Pragmatism: Toward a Reconstruction of Philosophy.Philip Kitcher - 2012 - New York, US: Oup Usa.
    In these essays, distinguished philosopher Philip Kitcher argues for a reconstruction of philosophy along the lines of classical Pragmatism.
  • Simulation and Similarity: Using Models to Understand the World.Michael Weisberg - 2013 - New York, US: Oxford University Press.
    one takes to be the most salient, any pair could be judged more similar to each other than to the third. Goodman uses this second problem to showthat there can be no context-free similarity metric, either in the trivial case or in a scientifically ...
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  • Theory and reality: an introduction to the philosophy of science.Peter Godfrey-Smith - 2003 - Chicago: University of Chicago Press.
    How does science work? Does it tell us what the world is "really" like? What makes it different from other ways of understanding the universe? In Theory and Reality , Peter Godfrey-Smith addresses these questions by taking the reader on a grand tour of one hundred years of debate about science. The result is a completely accessible introduction to the main themes of the philosophy of science. Intended for undergraduates and general readers with no prior background in philosophy, Theory and (...)
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  • The devil in the details: asymptotic reasoning in explanation, reduction, and emergence.Robert W. Batterman - 2002 - New York: Oxford University Press.
    Robert Batterman examines a form of scientific reasoning called asymptotic reasoning, arguing that it has important consequences for our understanding of the scientific process as a whole. He maintains that asymptotic reasoning is essential for explaining what physicists call universal behavior. With clarity and rigor, he simplifies complex questions about universal behavior, demonstrating a profound understanding of the underlying structures that ground them. This book introduces a valuable new method that is certain to fill explanatory gaps across disciplines.
  • The Scientific Image.Bas C. Fraassen - 1983 - Mind 92 (366):291-293.
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  • The Logical Structure of Mathematical Physics.Joseph D. Sneed - 1975 - Erkenntnis 9 (3):423-436.
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  • Theory and Reality. An Introduction to the Philosophy of Science.Peter Godfrey-Smith - 2005 - Tijdschrift Voor Filosofie 67 (2):393-394.
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