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Theories and Models

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  1. Wolfgang Balzer & Joseph D. Sneed (1978). Generalized Net Structures of Empirical Theories. II. Studia Logica 37 (2):167 - 194.
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  2. Wolfgang Balzer & Joseph D. Sneed (1977). Generalized Net Structures of Empirical Theories. I. Studia Logica 36 (3):195 - 211.
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  3. Roman Frigg & Stephan Hartmann (2005). Scientific Models. In Sahotra Sarkar et al (ed.), The Philosophy of Science: An Encyclopedia, Vol. 2. Routledge.
    Models are of central importance in many scientific contexts. The roles the MIT bag model of the nucleon, the billiard ball model of a gas, the Bohr model of the atom, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka- Volterra model of predator-prey interaction, agent-based and evolutionary models of social interaction, or general equilibrium models of markets play in their respective domains are cases in point.
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  4. Roman Frigg, Stephan Hartmann & Cyrille Imbert (2009). Models and Simluations. Synthese 169 (3).
    Special issue. With contributions by Anouk Barberouse, Sarah Francescelli and Cyrille Imbert, Robert Batterman, Roman Frigg and Julian Reiss, Axel Gelfert, Till Grüne-Yanoff, Paul Humphreys, James Mattingly and Walter Warwick, Matthew Parker, Wendy Parker, Dirk Schlimm, and Eric Winsberg.
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  5. Axel Gelfert (2011). Model-Based Representation in Scientific Practice: New Perspectives. Studies in History and Philosophy of Science 42 (2):251-252.
    Editorial introduction to special issue on 'Model-based representation in scientific practice'.
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  6. Stephan Hartmann (1996). The World as a Process: Simulations in the Natural and Social Sciences. In Rainer Hegselmann (ed.), Modelling and Simulation in the Social Sciences from the Philosophy of Science Point of View.
    Simulation techniques, especially those implemented on a computer, are frequently employed in natural as well as in social sciences with considerable success. There is mounting evidence that the "model-building era" (J. Niehans) that dominated the theoretical activities of the sciences for a long time is about to be succeeded or at least lastingly supplemented by the "simulation era". But what exactly are models? What is a simulation and what is the difference and the relation between a model and a simulation? (...)
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  7. Stephan Hartmann (1995). Modelle Und Forschungsdynamik: Strategien der Zeitgenössischen Physik. Praxis der Naturwissenschaften - Physik 1:33-41.
    An Beispielen aus der Entwicklung der Elementarteilchenphysik wird aufgezeigt, welche Rolle Modelle im Entstehungsprozess einer physikalischen Theorie spielen.
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  8. Stephan Hartmann (1995). Simulation. In Jürgen Mittelstrass (ed.), Enzyklopädie Philosophie und Wissenschaftstheorie, Vol. 3. Metzler.
    Simulation (von lat. simulare, engl. simulation, franz. simulation, ital. simulazione), Bezeichnung für die Nachahmung eines Prozesses durch einen anderen Prozeß. Beide Prozesse laufen auf einem bestimmten System ab. Simuliertes u. simulierendes System (der Simulator in der Kybernetik) können dabei auf gleichen oder unterschiedlichen Substraten realisiert sein.
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  9. Stephan Hartmann, Luc Bovens & Hoefer (2008). Nancy Cartwright's Philosophy of Science. Routledge.
    Nancy Cartwright is one of the most distinguished and influential contemporary philosophers of science. Despite the profound impact of her work, until now there has not been a systematic exposition of Cartwright's philosophy of science nor a collection of articles that contains in-depth discussions of the major themes of her philosophy. This book is devoted to a critical assessment of Cartwright's philosophy of science and contains contributions from Cartwright's champions and critics. Broken into three parts, the book begins by addressing (...)
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  10. Stephan Hartmann & Roman Frigg (2006). Models in Science. In Ed Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford.
    Models are of central importance in many scientific contexts. The centrality of models such as the billiard ball model of a gas, the Bohr model of the atom, the MIT bag model of the nucleon, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka-Volterra model of predator-prey interaction, the double helix model of DNA, agent-based and evolutionary models in the social sciences, or general equilibrium models of markets in their respective domains are cases in point. (...)
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  11. Stephan Hartmann & Roman Frigg (2005). Scientific Models. In SarkarSahotra (ed.), The Philosophy of Science: An Encyclopedia, Vol. 2. Routledge.
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  12. Richard Healey (2010). Science Without Representation. Analysis 70 (3):536-547.
    I think van Fraassen is right to see the development of quantum mechanics as a turning point for physical science with a profound moral for philosophy, and not just for the philosophy of science. But the moral is not that even a completely successful physical theory may fail to account for the appearances by showing how they arise within the reality it represents. The moral is more radical: it is that a physical theory – even a fundamental theory – may (...)
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  13. Tarja Knuuttila (2011). Modelling and Representing: An Artefactual Approach to Model-Based Representation. Studies in History and Philosophy of Science 42 (2):262-271.
    The recent discussion on scientific representation has focused on models and their relationship to the real world. It has been assumed that models give us knowledge because they represent their supposed real target systems. However, here agreement among philosophers of science has tended to end as they have presented widely different views on how representation should be understood. I will argue that the traditional representational approach is too limiting as regards the epistemic value of modelling given the focus on the (...)
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  14. Sabina Leonelli & Rachel Ankeny (2011). What’s so Special About Model Organisms? Studies in History and Philosophy of Science 42 (2):313-323.
    This paper aims to identify the key characteristics of model organisms that make them a specific type of model within the contemporary life sciences: in particular, we argue that the term “model organism” does not apply to all organisms used for the purposes of experimental research. We explore the differences between experimental and model organisms in terms of their material and epistemic features, and argue that it is essential to distinguish between their representational scope and representational target. We also examine (...)
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  15. Margaret Morrison (2011). One Phenomenon, Many Models: Inconsistency and Complementarity. Studies in History and Philosophy of Science 42 (2):342-351.
    The paper examines philosophical issues that arise in contexts where one has many different models for treating the same system. I show why in some cases this appears relatively unproblematic (models of turbulence) while others represent genuine difficulties when attempting to interpret the information that models provide (nuclear models). What the examples show is that while complementary models needn’t be a hindrance to knowledge acquisition, the kind of inconsistency present in nuclear cases is, since it is indicative of a lack (...)
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  16. Isabelle Peschard (2011). Modeling and Experimenting. In Paul Humphreys & Cyrille Imbert (eds.), Models, Simulations, and Representations. Routledge.
    Experimental activity is traditionally identified with testing the empirical implications or numerical simulations of models against data. In critical reaction to the ‘tribunal view’ on experiments, this essay will show the constructive contribution of experimental activity to the processes of modeling and simulating. Based on the analysis of a case in fluid mechanics, it will focus specifically on two aspects. The first is the controversial specification of the conditions in which the data are to be obtained. The second is conceptual (...)
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  17. Rasmus Grønfeldt Winther (2011). Part-Whole Science. Synthese 178:397-427.
    A scientific explanatory project, part-whole explanation, and a kind of science, part-whole science are premised on identifying, investigating, and using parts and wholes. In the biological sciences, mechanistic, structuralist, and historical explanations are part-whole explanations. Each expresses different norms, explananda, and aims. Each is associated with a distinct partitioning frame for abstracting kinds of parts. These three explanatory projects can be complemented in order to provide an integrative vision of the whole system, as is shown for a detailed case study: (...)
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  18. Rasmus Grønfeldt Winther (2005). Evolutionary Developmental Biology Meets Levels of Selection: Modular Integration or Competition, or Both? In Werner Callebaut & Diego Rasskin-Gutman (eds.), Modularity. Understanding the Development and Evolution of Natural Complex Systems. MIT Press.
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The Nature of Theories
  1. P. D. Magnus, What SPECIES Can Teach Us About THEORY.
    This paper argues against the common, often implicit view that theories are some specific kind of thing. Instead, I argue for theory concept pluralism: There are multiple distinct theory concepts which we legitimately use in different domains and for different purposes, and we should not expect this to change. The argument goes by analogy with species concept pluralism, a familiar position in philosophy of biology. I conclude by considering some consequences for philosophy of science if theory concept pluralism is correct.
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  2. Mark W. Risjord (2010). Nursing Knowledge: Science, Practice, and Philosophy. Wiley-Blackwell Pub..
    The final chapter of the book 'redraws the map', to create a new picture of nursing science based on the following principles: Problems of practice should guide ...
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  3. Gerhard Schurz (1990). Paradoxical Consequences of Balzer's and Gähde's Criteria of Theoreticity. Results of an Application to ten Scientific Theories. Erkenntnis 32 (2):161 - 214.
    It is shown that the criteria of T-theoreticity proposed by Balzer and Gähde lead to strongly counterintuitive and in this sense paradoxical results: most of the obviously empirical or at least nontheoretical terms come out as theoretical. This is demonstrated for a lot of theories in different areas. On the way, some improved and some new structuralist theory-reconstructions are given. The conclusion is drawn that the T-theoreticity of a term cannot possibly be proved on the basis of the mathematical structure (...)
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  4. Gerhard Schurz & Ioannis Votsis, A Preliminary Application of Frame-Theory to the Philosophy of Science: The Phlogiston-Oxygen Case.
    In the first part of this paper we investigate how scientific theories can be represented by frames. Different kinds of scientific theories can be distinguished in terms of the systematic power of their frames. In the second part we outline the central questions and goals of our research project. In the third and final part of this paper we show that frame-representation is a useful tool in the comparison of the theories of phlogiston and oxygen, despite those theories being traditionally (...)
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The Received View of Theories
  1. Vadim Batitsky (2000). Measurement in Carnap's Late Philosophy of Science. Dialectica 54 (2):87–108.
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  2. Gabriele Contessa (2006). Scientific Models, Partial Structures and the New Received View of Theories. Studies in History and Philosophy of Science Part A 37 (2):370-377.
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  3. Hans Halvorson, What Scientific Theories Could Not Be.
    According to the semantic view of scientific theories, theories are classes of models. I show that this view -- if taken seriously as a formal explication -- leads to absurdities. In particular, this view equates theories that are truly distinct, and it distinguishes theories that are truly equivalent. Furthermore, the semantic view lacks the resources to explicate interesting theoretical relations, such as embeddability of one theory into another. The untenability of the semantic view -- as currently formulated -- threatens to (...)
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  4. Frederick Suppe (1974). The Structure of Scientific Theories. Urbana,University of Illinois Press.
    Suppe, F. The search for philosophic understanding of scientific theories (p. [1]-241)--Proceedings of the symposium.--Bibliography, compiled by Rew A. Godow, Jr. (p. [615]-646).
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  5. Frederick Suppe (1972). What's Wrong with the Received View on the Structure of Scientific Theories? Philosophy of Science 39 (1):1-19.
    Achinstein, Putnam, and others have urged the rejection of the received view on theories (which construes theories as axiomatic calculi where theoretical terms are given partial observational interpretations by correspondence rules) because (i) the notion of partial interpretation cannot be given precise formulation, and (ii) the observational-theoretical distinction cannot be drawn satisfactorily. I try to show that these are the wrong reasons for rejecting the received view since (i) is false and it is virtually impossible to demonstrate the truth of (...)
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  6. Peter Turney (1990). Embeddability, Syntax, and Semantics in Accounts of Scientific Theories. Journal of Philosophical Logic 19 (4):429 - 451.
    Recently several philosophers of science have proposed what has come to be known as the semantic account of scientific theories. It is presented as an improvement on the positivist account, which is now called the syntactic account of scientific theories. Bas van Fraassen claims that the syntactic account does not give a satisfactory definition of empirical adequacy and empirical equivalence. He contends that his own semantic account does define these notations acceptably, through the concept of embeddability, a concept which he (...)
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  7. Rasmus Grønfeldt Winther (2011). Interweaving Categories: Styles, Paradigms, and Models. Studies in History and Philosophy of Science, Part A.
    Analytical categories of scientific cultures have typically been used both exclusively and universally. For instance, when /styles of scientific research/ are employed in attempts to understand and narrate science, styles alone are usually employed. This article is a thought experiment in interweaving categories. What would happen if rather than employ a single category, we instead investigated several categories simultaneously? What would we learn about the practices and theories, the agents and materials, and the political-technological impact of science if we analyzed (...)
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Research Programs
  1. Joseph Agassi (1979). The Legacy of Lakatos. Philosophy of the Social Sciences 9 (3):316-326.
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  2. Gerrit Balen (1987). Conceptual Tensions Between Theory and Program: The Chromosome Theory and the Mendelian Research Program. Biology and Philosophy 2 (4).
    Laudan's thesis that conceptual problem solving is at least as important as empirical problem solving in scientific research is given support by a study of the relation between the chromosome theory and the Mendelian research program. It will be shown that there existed a conceptual tension between the chromosome theory and the Mendelian program. This tension was to be resolved by changing the constraints of the Mendelian program. The relation between the chromosome theory and the Mendelian program is shown to (...)
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  3. Kurt Bayertz (1991). Forschungsprogramm Und Wissenschaftsentwicklung. Journal for General Philosophy of Science 22 (2):229 - 243.
    Research Programme and Development of Science. For Imre Lakatos his methodology of scientific research programmes was not only a philosophical theory of science and scientific change but also the conceptual foundation of empirical and historical studies of science. At least terminologically this view is today widely accepted: The concept of a research programme is used in all sorts of literature on science. In the present paper I argue that this concept can lead to serious distortions of empirical and historical studies (...)
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  4. Kurt Bayertz (1991). Forschungsprogramm Und WissenschaftsentwicklungResearch Programme and Development of Science. Journal for General Philosophy of Science 22 (2):229-243.
    Summary For Imre Lakatos hismethodology of scientific research programmes was not only a philosophical theory of science and scientific change but also the conceptual foundation of empirical and historical studies of science. At least terminologically this view is today widely accepted: The concept of aresearch programme is used in all sorts of literature on science. In the present paper I argue that this concept can lead to serious distortions of empirical and historical studies of science if it is not detached (...)
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  5. Jesús P. Zamora Bonilla (2002). Verisimilitude and the Dynamics of Scientific Research Programmes. Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 33 (2):349 - 368.
    Some peculiarities of the evaluation of theories within scientific research programmes (SRPs) and of the assessing of rival SRPs are described assuming that scientists try to maximise an 'epistemic utility function' under economic and institutional constraints. Special attention is given to Lakatos' concepts of 'empirical progress' and 'theoretical progress'. A notion of 'empirical verisimilitude' is defended as an appropriate utility function. The neologism 'methodonomics' is applied to this kind of studies.
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  6. Richard S. Briggs (2009). The Methodology of Hermeneutical Research Programmes in Biblical Studies: Some Insights From the Work of Imre Lakatos. Heythrop Journal 50 (1):109-115.
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  7. L. Jonathan Cohen (1979). Philosophical Papers By Imre Lakatos Edited by John Worrall and Gregory Currie Vol. I, The Methodology of Scientific Research Programmes, Viii + 250 Pp., £9.00 Vol. II, Mathematics, Science and Epistemology, X + 286 Pp., £10.50 Cambridge: Cambridge University Press, 1978. Philosophy 54 (208):247-.
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  8. Richard P. Cooper (2006). Cognitive Architectures as Lakatosian Research Programs: Two Case Studies. Philosophical Psychology 19 (2):199-220.
    Cognitive architectures - task-general theories of the structure and function of the complete cognitive system - are sometimes argued to be more akin to frameworks or belief systems than scientific theories. The argument stems from the apparent non-falsifiability of existing cognitive architectures. Newell was aware of this criticism and argued that architectures should be viewed not as theories subject to Popperian falsification, but rather as Lakatosian research programs based on cumulative growth. Newell's argument is undermined because he failed to demonstrate (...)
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  9. Gregory Currie (1980). The Role of Normative Assumptions in Historical Explanation. Philosophy of Science 47 (3):456-473.
    This paper concerns the problem of how to give historical explanations of scientist's decisions to prefer one theory over another. It is argued that such explanations ought to contain only statements about the beliefs and preferences of the agents involved, and, in particular, ought not to include evaluative premises about the theories themselves. It is argued that Lakatos's attempt to build into such historical explanations premises of an evaluative kind is deficient. The arguments of Laudan to the effect that such (...)
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  10. James T. Cushing (1982). Models and Methodologies in Current Theoretical High-Energy Physics. Synthese 50 (1):5 - 101.
    A case study of the development of quantum field theory and of S-matrix theory, from their inceptions to the present, is presented. The descriptions of science given by Kuhn and by Lakatos are compared and contrasted as they apply to this case study. The episodes of the developments of these theories are then considered as candidates for competing research programs in Lakatos' methodology of scientific research programs. Lakatos' scheme provides a reasonable overall description and a plausible assessment of the relative (...)
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  11. Corfield David (1998). Beyond the Methodology of Mathematics Research Programmes. Philosophia Mathematica 6 (3).
    In this paper I assess the obstacles to a transfer of Lakatos's methodology of scientific research programmes to mathematics. I argue that, if we are to use something akin to this methodology to discuss modern mathematics with its interweaving theoretical development, we shall require a more intricate construction and we shall have to move still further away from seeing mathematical knowledge as a collection of statements. I also examine the notion of rivalry within mathematics and claim that this appears to (...)
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  12. J. Dorling (1979). Bayesian Personalism, the Methodology of Scientific Research Programmes, and Duhem's Problem. Studies in History and Philosophy of Science Part A 10 (3):177-187.
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  13. David P. Ericson (1979). Response to Phillips and Nicolayev: Kohlberg's "Research Program". Educational Theory 29 (4):345-348.
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  14. M. Finocchiaro (1973). Criticism and the Growth of Knowledge I. Lakatos and A. Musgrave. Cambridge University Press: Cambridge, 1970. Viii + 282 Pp. £ 1 (Pbk.). Studies in History and Philosophy of Science Part A 3 (4):357-372.
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  15. Gábor Forrai (1993). From the Method of Proofs and Refutations to the Methodology of Scientific Research Programmes. International Studies in the Philosophy of Science 7 (2):161-175.
    Abstract The paper is an attempt to interpret Imre Lakatos's methodology of scientific research programmes (MSRP) on the basis of his mathematical methodology, the method of proofs and refutations (MPR). After sketching MSRP and MPR and analysing their relationship to Popper's and Poly a's work, I argue that MSRP was originally conceived as a methodology in the same sense as MPR. The most conspicuous difference between the two, namely that MSRP is fundamentally backward?looking, whereas MPR is primarily forward?looking, is due (...)
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  16. H. Frankel (1979). The Career of Continental Drift Theory: An Application of Imre Lakatos' Analysis of Scientific Growth to the Rise of Drift Theory. Studies in History and Philosophy of Science Part A 10 (1):21-66.
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  17. Y. Freundlich (1980). Methodologies of Science as Tools for Historical Research. Studies in History and Philosophy of Science Part A 11 (4):257-266.
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  18. Hannah Gay (1976). Radicals and typesA Critical Comparison of the Methodologies of Popper and Lakatos and Their Use in the Reconstruction of Some 19th Century Chemistry. Studies in History and Philosophy of Science Part A 7 (1):1-51.
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  19. E. Glas (2001). The 'Popperian Programme' and Mathematics - Part II: From Quasi-Empiricism to Mathematical Research Programmes. Studies in History and Philosophy of Science Part A 32 (2):355-376.
    In the first part of this article I investigated the Popperian roots of Lakatos's Proofs and Refutations, which was an attempt to apply, and thereby to test, Popper's theory of knowledge in a field-mathematics-to which it had not primarily been intended to apply. While Popper's theory of knowledge stood up gloriously to this test, the new application gave rise to new insights into the heuristic of mathematical development, which necessitated further clarification and improvement of some Popperian methodological maxims. In the (...)
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  20. Eduard Glas (1995). Kuhn, Lakatos, and the Image of Mathematics. Philosophia Mathematica 3 (3):225-247.
    In this paper I explore possibilities of bringing post-positivist philosophies of empirical science to bear on the dynamics of mathematical development. This is done by way of a convergent accommodation of a mathematical version of Lakatos's methodology of research programmes, and a version of Kuhn's account of scientific change that is made applicable to mathematics by cleansing it of all references to the psychology of perception. The resulting view is argued in the light of two case histories of radical conceptual (...)
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  21. Peter Godfrey-Smith, The Evolution of the Individual.
    Sometimes themes can be found in common across very different systems in which change occurs. Imre Lakatos developed a theory of change in science, and one involving entities visible at different levels. There are theories defended at a particular time, and there are also research programs, larger units that bundle together a sequence of related theories and within which many scientists may work. Research programs are competing higher-level units within a scientific field. Scientific change involves change within research programs, and (...)
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  22. Ian Hacking (1979). Imre Lakatos's Philosophy of Science. British Journal for the Philosophy of Science 30 (4):381-402.
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  23. Ian Hacking (1979). Review: Imre Lakatos's Philosophy of Science. [REVIEW] British Journal for the Philosophy of Science 30 (4):381 - 402.
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  24. Kaisa Herne & Maija Setälä (2004). A Response to the Critique of Rational Choice Theory: Lakatos' and Laudan's Conceptions Applied. Inquiry 47 (1):67 – 85.
    This paper analyzes the main features of rational choice theory and evaluates it with respect to the conceptions of Lakatos' research program and Laudan's research tradition. The analysis reveals that the thin rationality assumption, the axiomatic method and the reduction to the micro level are the only features shared by all rational choice models. On these grounds, it is argued that rational choice theory cannot be characterized as a research program. This is due to the fact that the thin rationality (...)
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  25. Hinne Hettema (2008). Is Quantum Chemistry a Degenerating Research Programme? Logic and Philosophy of Science 6 (1):3-23.
    This note is intended to address one particular issue in the relative status of Quantum Chemistry in comparison to both Chemistry and Physics. It has been suggested, in the context of the question of the reduction relations between Chemistry and Physics that Quantum Chemistry as a research programme is incapable of furnishing useful guidance to practising chemists. If true, this claim will let us qualify Quantum Chemistry as a degenerating research programme, which, due to its complexity has difficulty to be (...)
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  26. Colin Howson (1976). Method and Appraisal in the Physical Sciences: The Critical Background to Modern Science, 1800-1905. Cambridge University Press.
    Lakatos, I. History of science and its rational reconstructions.--Clark, P. Atomism vs. thermodynamics.--Worrall, J. Thomas Young and the "rufutation" of Newtonian optics.--Musgrave, A. Why did oxygen supplant phlogiston?--Zahar, E. Why did Einstein's programme supersede Lorentz's?--Frické, M. The rejection of Avogadro's hypotheses.--Feyerabend, P. On the critique of scientific reason.
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  27. Aharon Kantorovich (1978). An Ideal Model for the Growth of Knowledge in Research Programs. Philosophy of Science 45 (2):250-272.
    In this paper a model is presented for the growth of knowledge in a dynamic scientific system. A system which is in some respects an idealization of a Lakatosian research program. The kinematics of the system is described in terms of two probabilistic variables, one of which is related to the evolution of its theoretical component and the other--to the growth of the empirical component. It is shown that when the empirical growth is faster than the theoretical growth the posterior (...)
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  28. Olga Kiss (2006). Heuristic, Methodology or Logic of Discovery? Lakatos on Patterns of Thinking. Perspectives on Science 14 (3):302-317.
    : Heuristic is a central concept of Lakatos' philosophy both in his early works and in his later work, the methodology of scientific research programs (MSRP). The term itself, however, went through significant change of meaning. In this paper I study this change and the ‘metaphysical' commitments behind it. In order to do so, I turn to his mathematical heuristic elaborated in Proofs and Refutations. I aim to show the dialogical character of mathematical knowledge in his account, which can open (...)
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  29. Scott A. Kleiner (1985). Darwin's and Wallace's Revolutionary Research Programme. British Journal for the Philosophy of Science 36 (4):367-392.
    Research programmes are sets of problems preferred on epistemic grounds and including preferred heuristics for inquiry. Charles Lyell's research programme for biogeograpy includes the problem of explaining the distribution of species constrained by laws governing locomotion and containment of species. Included in the programme are laws governing the supernatural introduction of replacement species. Wallace and Darwin derected arguments against the putative intelligibility of this aspect of Lyell's programme before discovering natural selection, and their defence, at this time of natural laws (...)
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  30. Noretta Koertge (1975). Popper's Metaphysical Research Program for the Human Sciences. Inquiry 18 (4):437 – 462.
    Popper has provided a model for the scientific explanation of human actions and a metaphysical theory of man which can guide scientific research. In this paper I discuss the problems of the empirical content and nomicity of the Rationality Principle and extend the method of situational analysis to the problem of explaining beliefs. The domain of applicability of the Rationality Principle is bounded on one side by cases in which behavior is determined by processes which can not be influenced by (...)
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  31. Thomas S. Kuhn (1970). Notes on Lakatos. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1970:137 - 146.
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  32. Tomas Kulka (1977). Some Problems Concerning Rational Reconstruction: Comments on Elkana and Lakatos. British Journal for the Philosophy of Science 28 (4):325-344.
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  33. I. Lakatos (1974). The Role of Crucial Experiments in Science. Studies in History and Philosophy of Science Part A 4 (4):309-325.
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  34. Imre Lakatos (1971). History of Science and its Rational Reconstructions. In R. C. Buck & R. S. Cohen (eds.), Psa 1970. Boston Studies in the Philosophy of Science Viii. D. Reidel.
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  35. Imre Lakatos (1970). Replies to Critics. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1970:174 - 182.
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  36. Imre Lakatos (1968). Criticism and the Methodology of Scientific Research Programmes. Proceedings of the Aristotelian Society 69:149 - 186.
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  37. Arthur B. Millman (1976). The Plausibility of Research Programs. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1976:140 - 148.
    Although, when first introduced, Copernicus's theory considered as a whole was not superior to the Ptolemaic theory according to any of the usual criteria for comparing theories and determining their acceptability, it did have features which provided the early Copernicans with good reasons for entertaining it and trying to develop it further. These features are discussed and then three plausibility considerations which seem to be operative in this case are formulated.
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  38. Bence Nanay (2010). Rational Reconstruction Reconsidered. The Monist 93 (4).
  39. Mansoor Niaz (2008). A Rationale for Mixed Methods (Integrative) Research Programmes in Education. Journal of Philosophy of Education 42 (2):287-305.
    Recent research shows that research programmes (quantitative, qualitative and mixed) in education are not displaced (as suggested by Kuhn) but rather lead to integration. The objective of this study is to present a rationale for mixed methods (integrative) research programs based on contemporary philosophy of science (Lakatos, Giere, Cartwright, Holton, Laudan). This historical reconstruction of episodes from physical science (spanning a period of almost 300 years, 17 th to 20 th century) does not agree with the positivist image of science. (...)
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  40. Hans Radder (1982). An Immanent Criticism of Lakatos' Account of the 'Degenerating Phase' of Bohr's Atomic Theory. Journal for General Philosophy of Science 13 (1):99-109.
    Summary This paper presents an immanent criticism of Lakatos' reconstruction of the degenerating phase of Bohr's atomic theory. That is to say, the historiographical methods used are exclusively of a Lakatosian kind. Such a closer Lakatosian look at the historical episode in question shows that Lakatos' own reconstruction is incorrect on three essential points. These are the role of the correspondence principle, the position of the hard core in Bohr's programme, and the presence of important novel predicted facts. I conclude (...)
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  41. M. Redhead (1980). A Bayesian Reconstruction of the Methodology of Scientific Research Programmes. Studies in History and Philosophy of Science Part A 11 (4):341-347.
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  42. Husain Sarkar (1980). Imre Lakatos' Meta-Methodology: An Appraisal. Philosophy of the Social Sciences 10 (4):397-416.
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  43. Husain Sarkar (1978). Musgrave's "Appraisals and Advice". Philosophy of Science 45 (3):478-483.
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  44. Kenneth F. Schaffner (1974). Einstein Versus Lorentz: Research Programmes and the Logic of Comparative Theory Evaluation. British Journal for the Philosophy of Science 25 (1):45-78.
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  45. Morton L. Schagrin (1973). On Being Unreasonable. Philosophy of Science 40 (1):1-9.
    The problem of the critical assessment of theories across paradigms raised by Kuhn is not resolved, it is argued, either by Scheffler's appeal to initial credibility or by Lakatos' conception of a research program. It is argued further that, in these contexts, the notion of reasonable choice by individuals makes no sense. The conclusion supports Feyerabend's position of "epistemological anarchism.".
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  46. Jeremy Shearmur (2010). Why the 'Hopeless War'?: Approaching Intelligent Design. Sophia 49 (4):475-488.
    This paper addresses the intellectual motivation of some of those involved in the intelligent design movement. It identifies their concerns with the critique of the claim that Darwinism offers an adequate explanation of prima facie teleological features in biology, a critique of naturalism, and the concern on the part of some of these authors including Dembski, with the revival of 'Old Princeton' apologetics. It is argued that their work is interesting and is in principle intellectually legitimate. It is also suggested, (...)
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  47. Jeremy Shearmur (1996). Hayek and After: Hayekian Liberalism as a Research Programme. Routledge.
    This book offers a distinctive treatment of Hayek's ideas as a "research program". It presents a detailed account of aspects of Hayek's intellectual development and of problems that arise within his work, and then offers some broad suggestions as to ways in which the program initiated in his work might be developed further. The book discusses how Popper and Lakatos' ideas about "research programs" might be applied within political theory. There then follows a distinctive presentation of Hayek's intellectual development up (...)
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  48. Tony Smith, Marx's Theory of Social Forms and Lakatos's Methodology of Scientific Research Programs.
    economists. According to Rosenberg, Milton Friedman's positive methodology is being supplanted by Lakatos's methodology of scientific research programs (MSRP). At any rate, the Kuhnian wave of the seventies is being swallowed up by the Lakatosian program. (Redman 142) There have been a number of attempts to comprehend mainstream (bourgeois) economics as a Lakatosian research program, or as a set of competing research programs. (Latsis, ed. passim; de Marchi and Blaug, eds.)i In contrast, the extent to which the Marxian study of (...)
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  49. Neil Thomason (1992). Could Lakatos, Even with Zahar's Criterion for Novel Fact, Evaluate the Copernican Research Programme? British Journal for the Philosophy of Science 43 (2):161-200.
    Why did Copernicus's research programme supersede Ptolemy's?’, Lakatos and Zahar argued that, on Zahar's criterion for ‘novel fact’, Copernican theory was objectively scientifically superior to Ptolemaic theory. They are mistaken, Lakatos and Zahar applied Zahar's criterion to ‘a historical thought-experiment’—fictional rather than real history. Further, in their fictional history, they compared Copernicus to Eudoxus rather than Ptolemy, ignored Tycho Brahe, and did not consider facts that would be novel for geostatic theories. When Zahar's criterion is applied to real history, the (...)
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  50. Fernando Tohmé, Claudio Delrieux & Otávio Bueno (2011). Defeasible Reasoning + Partial Models: A Formal Framework for the Methodology of Research Programs. Foundations of Science 16 (1):47-65.
    In this paper we show that any reasoning process in which conclusions can be both fallible and corrigible can be formalized in terms of two approaches: (i) syntactically, with the use of defeasible reasoning, according to which reasoning consists in the construction and assessment of arguments for and against a given claim, and (ii) semantically, with the use of partial structures, which allow for the representation of less than conclusive information. We are particularly interested in the formalization of scientific reasoning, (...)
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  51. G. van Balen (1986). The Influence of Johannsen's Discoveries on the Constraint-Structure of the Mendelian Research Program. An Example of Conceptual Problem Solving in Evolutionary Theory. Studies in History and Philosophy of Science Part A 17 (2):175-204.
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  52. John Wettersten (2004). Searching for the Holy in the Ascent of Imre Lakatos. Philosophy of the Social Sciences 34 (1):84-150.
    Bernard Lavor and John Kadvany argue that Lakatos’s Hegelian approach to the philosophy of mathematics and science enabled him to overcome all competing philosophies. His use of the approach Hegel developed in his Phenomenology enabled him to show how mathematics and science develop, how they are open-ended, and that they are not subject to rules, even though their rationality may be understood after the fact. Hegel showed Lakatos how to falsify the past to make progress in the present. A critique (...)
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  53. Bill Wringe (2002). Is Folk Psychology a Lakatosian Research Program? Philosophical Psychology 15 (3):343-358.
    It has often been argued, by philosophers and more recently by developmental psychologists, that our common-sense conception of the mind should be regarded as a scientific theory. However, those who advance this view rarely say much about what they take a scientific theory to be. In this paper, I look at one specific proposal as to how we should interpret the theory view of folk psychology--namely, by seeing it as having a structure analogous to that of a Lakatosian research program. (...)
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  54. Jesús P. Zamora Bonilla (2002). Verisimilitude and the Dynamics of Scientific Research Programmes. Journal for General Philosophy of Science 33 (2):349-368.
    Some peculiarities of the evaluation of theories within scientific research programmes (SRPs) and of the assessing of rival SRPs are described assuming that scientists try to maximise an ‘epistemic utility function’ under economic and institutional constraints. Special attention is given to Lakatos' concepts of ‘empirical progress’ and ‘theoretical progress’. A notion of ‘empirical verisimilitude’ is defended as an appropriate utility function. The neologism ‘methodonomics’ is applied to this kind of studies.
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  55. Frank Zenker (2006). Lakatos's Challenge? Auxiliary Hypotheses and Non-Monotonous Inference. Journal for General Philosophy of Science 37 (2):405 - 415.
    Gerhard Schurz [2001, Journal for General Philosophy of Science, 32, 65-107] has proposed to reconstruct auxiliary hypothesis addition, e.g., postulation of Neptune to immunize Newtonian mechanics, with concepts from non-monotonous inference to avoid the retention of false predictions that are among the consequence-set of the deductive model. However, the non-monotonous reconstruction retains the observational premise that is indeed rejected in the deductive model. Hence, his proposal fails to do justice to Lakatos' core-belt model, therefore fails to meet what Schurz coined (...)
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Semantic View of Theories
  1. John Beatty (1980). What's Wrong with the Received View of Evolutionary Theory? PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1980:397 - 426.
    Much if not most recent literature in philosophy of biology concerns the extent to which biological theories conform to what is known as the "received" philosophical view of scientific theories, a descendant of the logical-empiricist view of theories. But the received view currently faces a competitor--a very different view of theories known as the "semantic" view. It is argued here that the semantic view is more sensitive to the nature and limitations of evolutionary theory than is the received view. In (...)
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  2. John Bickle (1993). Connectionism, Eliminativism, and the Semantic View of Theories. Erkenntnis 39 (3):359-382.
    Recently some philosophers have urged that connectionist artificial intelligence is (potentially) eliminative for the propositional attitudes of folk psychology. At the same time, however, these philosophers have also insisted that since philosophy of science has failed to provide criteria distinguishing ontologically retentive from eliminative theory changes, the resulting eliminativism is not principled. Application of some resources developed within the semantic view of scientific theories, particularly recent formal work on the theory reduction relation, reveals these philosophers to be wrong in this (...)
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  3. Anjan Chakravartty (2001). The Semantic or Model-Theoretic View of Theories and Scientific Realism. Synthese 127 (3):325 - 345.
    The semantic view of theoriesis one according to which theoriesare construed as models of their linguisticformulations. The implications of thisview for scientific realism have been little discussed. Contraryto the suggestion of various champions of the semantic view,it is argued that this approach does not makesupport for a plausible scientific realism anyless problematic than it might otherwise be.Though a degree of independence of theory fromlanguage may ensure safety frompitfalls associated with logical empiricism, realism cannot be entertained unless models or (abstractedand/or idealized) (...)
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  4. Gabriele Contessa (2006). Scientific Models, Partial Structures and the New Received View of Theories. Studies in History and Philosophy of Science Part A 37 (2):370-377.
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  5. Newton da Costa & Steven French (2000). Models, Theories, and Structures: Thirty Years On. Philosophy of Science 67 (3):127.
    Thirty years after the conference that gave rise to The Structure of Scientific Theories, there is renewed interest in the nature of theories and models. However, certain crucial issues from thirty years ago are reprised in current discussions; specifically: whether the diversity of models in the science can be captured by some unitary account; and whether the temporal dimension of scientific practice can be represented by such an account. After reviewing recent developments we suggest that these issues can be accommodated (...)
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  6. Marc Ereshefsky (1991). The Semantic Approach to Evolutionary Theory. Biology and Philosophy 6 (1).
    Paul Thompson, John Beatty, and Elisabeth Lloyd argue that attempts to resolve certain conceptual issues within evolutionary biology have failed because of a general adherence to the received view of scientific theories. They maintain that such issues can be clarified and resolved when one adopts a semantic approach to theories. In this paper, I argue that such conceptual issues are just as problematic on a semantic approach. Such issues arise from the complexity involved in providing formal accounts of theoretical laws (...)
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  7. Steven French & James Ladyman (1999). Reinflating the Semantic Approach. International Studies in the Philosophy of Science 13 (2):103 – 121.
    The semantic, or model-theoretic, approach to theories has recently come under criticism on two fronts: (i) it is claimed that it cannot account for the wide diversity of models employed in scientific practice—a claim which has led some to propose a “deflationary” account of models; (ii) it is further contended that the sense of “model” used by the approach differs from that given in model theory. Our aim in the present work is to articulate a possible response to these claims, (...)
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  8. Steven French & Juha Saatsi (2006). Realism About Structure: The Semantic View and Nonlinguistic Representations. Philosophy of Science 73 (5):548-559.
    The central concern of this paper is whether the Semantic Approach to theories has the resources to appropriately capture the core tenets of structural realism. Chakravartty, for example, has argued that a realist notion of correspondence cannot be accommodated without introducing a linguistic component which undermines the Approach itself. We suggest first of all, that this worry can be addressed by an appropriate understanding of the role of language with respect to the Semantic Approach. Secondly, we argue that an appropriately (...)
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  9. Roman Frigg, Models and Representation: Why Structures Are Not Enough.
    Models occupy a central role in the scientific endeavour. Among the many purposes they serve, representation is of great importance. Many models are representations of something else; they stand for, depict, or imitate a selected part of the external world (often referred to as target system, parent system, original, or prototype). Well-known examples include the model of the solar system, the billiard ball model of a gas, the Bohr model of the atom, the Gaussian-chain model of a polymer, the MIT (...)
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  10. Roman Frigg (2006). Scientific Representation and the Semantic View of Theories. Theoria 21 (1):49-65.
    It is now part and parcel of the official philosophical wisdom that models are essential to the acquisition and organisation of scientific knowledge. It is also generally accepted that most models represent their target systems in one way or another. But what does it mean for a model to represent its target system? I begin by introducing three conundrums that a theory of scientific representation has to come to terms with and then address the question of whether the semantic view (...)
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  11. Hans Halvorson, What Scientific Theories Could Not Be.
    According to the semantic view of scientific theories, theories are classes of models. I show that this view -- if taken seriously as a formal explication -- leads to absurdities. In particular, this view equates theories that are truly distinct, and it distinguishes theories that are truly equivalent. Furthermore, the semantic view lacks the resources to explicate interesting theoretical relations, such as embeddability of one theory into another. The untenability of the semantic view -- as currently formulated -- threatens to (...)
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  12. R. F. Hendry & Stathis Psillos, How to Do Things with Theories: An Interactive View of Language and Models in Science.
    There are two major approaches to the individuation of scientific theories, that have been called syntactic and semantic. We prefer to call them the linguistic and non-linguistic conceptions. On the linguistic view, also known as the received view, theories are identified with (pieces of) languages. On the non-linguistic view, theories are identified with extra-linguistic structures, known as models. We would like to distinguish between strong and weak formulations of each approach. On the strong version of the linguistic approach, theories are (...)
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  13. Barbara L. Horan (1986). Sociobiology and the Semantic View of Theories. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:322 - 330.
    The semantic view of scientific theories has been defended as more adequate than the "received" view, especially with respect to biological theories. However, the semantic view has not been evaluated on its own terms. In this paper it is first shown how the theory of sociobiology propounded by E.O. Wilson can be understood on the semantic approach. The criticism that Wilson's theory is beset by the problem of unreliable generalizations is discussed. It is suggested that this problem results from the (...)
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  14. Colin Klein (forthcoming). Multiple Realizability and the Semantic View of Theories. Philosophical Studies:-.
    Abstract Multiply realizable properties are those whose realizers are physically diverse. It is often argued that theories which contain them are ipso facto irreducible. These arguments assume that physical explanations are restricted to the most specific descriptions possible of physical entities. This assumption is descriptively false, and philosophically unmotivated. I argue that it is a holdover from the late positivist axiomatic view of theories. A semantic view of theories, by contrast, correctly allows scientific explanations to be couched in the most (...)
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  15. Décio Krause & Otávio Bueno, Scientific Theories, Models, and the Semantic Approach.
    According to the semantic view, a theory is characterized by a class of mod- els. In this paper, we examine critically some of the assumptions that underlie this approach. First, we recall that models are models of something. Thus we cannot leave completely aside the axiomatization of the theories under consider- ation, nor can we ignore the metamathematics used to elaborate these models, for changes in the metamathematics often impose restrictions on the resulting models. Second, based on a parallel between (...)
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  16. James A. T. Lancaster (2011). The Semantic Structure of Evolutionary Biology as an Argument Against Intelligent Design. Zygon 46 (1):26-46.
    Abstract. This paper examines the impact of two formalizations of evolutionary biology on the antiselectionist critiques of the Intelligent Design (ID) movement. It looks first at attempts to apply the syntactic framework of the physical sciences to biology in the twentieth century, and to their effect upon the ID movement. It then examines the more heuristic account of biological-theory structure, namely, the semantic model. Finally, it concludes by advocating the semantic conception and emphasizing the problems that the semantic model creates (...)
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