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  1. Deidealization: No Easy Reversals.Tarja Knuuttila & Mary S. Morgan - 2019 - Philosophy of Science 86 (4):641-661.
    Deidealization as a topic in its own right has attracted remarkably little philosophical interest despite the extensive literature on idealization. One reason for this is the often implicit assumption that idealization and deidealization are, potentially at least, reversible processes. We question this assumption by analyzing the challenges of deidealization within a menu of four broad categories: deidealizing as recomposing, deidealizing as reformulating, deidealizing as concretizing, and deidealizing as situating. On closer inspection, models turn out much more inflexible than the reversal (...)
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  • The diffusion of scientific innovations: A role typology.Catherine Herfeld & Malte Doehne - 2019 - Studies in History and Philosophy of Science Part A 77:64-80.
    How do scientific innovations spread within and across scientific communities? In this paper, we propose a general account of the diffusion of scientific innovations. This account acknowledges that novel ideas must be elaborated on and conceptually translated before they can be adopted and applied to field-specific problems. We motivate our account by examining an exemplary case of knowledge diffusion, namely, the early spread of theories of rational decision-making. These theories were grounded in a set of novel mathematical tools and concepts (...)
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  • Knowledge transfer across scientific disciplines.Paul Humphreys - 2019 - Studies in History and Philosophy of Science Part A 77:112-119.
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  • Turing A. M.. On computable numbers, with an application to the Entscheidungs problcm. Proceedings of the London Mathematical Society, 2 s. vol. 42 , pp. 230–265. [REVIEW]Alonzo Church - 1937 - Journal of Symbolic Logic 2 (1):42-43.
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  • Model templates within and between disciplines: from magnets to gases – and socio-economic systems.Tarja Knuuttila & Andrea Loettgers - 2016 - European Journal for Philosophy of Science 6 (3):377-400.
    One striking feature of the contemporary modelling practice is its interdisciplinary nature. The same equation forms, and mathematical and computational methods, are used across different disciplines, as well as within the same discipline. Are there, then, differences between intra- and interdisciplinary transfer, and can the comparison between the two provide more insight on the challenges of interdisciplinary theoretical work? We will study the development and various uses of the Ising model within physics, contrasting them to its applications to socio-economic systems. (...)
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  • (1 other version)Computational Models.Paul Humphreys - 2002 - Philosophy of Science 69 (S3):S1-S11.
    A different way of thinking about how the sciences are organized is suggested by the use of cross-disciplinary computational methods as the organizing unit of science, here called computational templates. The structure of computational models is articulated using the concepts of construction assumptions and correction sets. The existence of these features indicates that certain conventionalist views are incorrect, in particular it suggests that computational models come with an interpretation that cannot be removed as well as a prior justification. A form (...)
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  • (1 other version)Analogy and confirmation theory.Mary Hesse - 1963 - Dialectica 17 (2-3):284-292.
    The argument from analogy is examined from the standpoint of Carnap's confirmation theory. Carnap's own discussion of analogy in relation to his c*— function is restricted to cases where the analogues are known to be similar, but not known to be different in any respect. It has been argued by the author in a previous work,, and by P. Achinstein, that typical analogy arguments involve known differences between the analogues as well as similarities. Achinstein shows that for such arguments none (...)
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  • Extending Ourselves: Computational Science, Empiricism, and Scientific Method.Paul Humphreys - 2004 - New York, US: Oxford University Press.
    Computational methods such as computer simulations, Monte Carlo methods, and agent-based modeling have become the dominant techniques in many areas of science. Extending Ourselves contains the first systematic philosophical account of these new methods, and how they require a different approach to scientific method. Paul Humphreys draws a parallel between the ways in which such computational methods have enhanced our abilities to mathematically model the world, and the more familiar ways in which scientific instruments have expanded our access to the (...)
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  • Proofs about Proofs: a defense of classical logic. Part I: the aims of classical logic.John P. Burgess - 1992 - In Michael Detlefsen (ed.), Proof, Logic and Formalization. London, England: Routledge. pp. 8–23.
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  • Transfer and templates in scientific modelling.Wybo Houkes & Sjoerd D. Zwart - 2019 - Studies in History and Philosophy of Science Part A 77:93-100.
    The notion of template has recently been discussed in relation to cross-disciplinary transfer of modeling efforts and in relation to the representational content of models. We further develop and disambiguate the notion of template and find that, suitably developed, it is useful in distinguishing and analyzing different types of transfer, none of which supports a non-representationalist view of models. We illustrate our main findings with the modeling of technology substitution with Lotka-Volterra Competition equations.
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  • On Computable Numbers, with an Application to the Entscheidungsproblem.Alan Turing - 1936 - Proceedings of the London Mathematical Society 42 (1):230-265.
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  • Logic for philosophy.Theodore Sider - 2009 - New York: Oxford University Press.
    Logic for Philosophy is an introduction to logic for students of contemporary philosophy. It is suitable both for advanced undergraduates and for beginning graduate students in philosophy. It covers (i) basic approaches to logic, including proof theory and especially model theory, (ii) extensions of standard logic that are important in philosophy, and (iii) some elementary philosophy of logic. It emphasizes breadth rather than depth. For example, it discusses modal logic and counterfactuals, but does not prove the central metalogical results for (...)
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  • Two Families of Languages Related to ALGOL.Seymour Ginsburg & H. Gordon Rice - 1969 - Journal of Symbolic Logic 34 (1):135-135.
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  • Magnets, spins, and neurons: The dissemination of model templates across disciplines.Tarja Knuuttila & Andrea Loettgers - 2014 - The Monist 97 (3):280-300.
    One of the most conspicuous features of contemporary modeling practices is the dissemination of mathematical and computational methods across disciplinary boundaries. We study this process through two applications of the Ising model: the Sherrington-Kirkpatrick model of spin glasses and the Hopfield model of associative memory. The Hopfield model successfully transferred some basic ideas and mathematical methods originally developed within the study of magnetic systems to the field of neuroscience. As an analytical resource we use Paul Humphreys's discussion of computational and (...)
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  • Magnetized Memories: Analogies and Templates in Model Transfer.Tarja Knuuttila & Andrea Loettgers - 2020 - In S. Holm & M. Serban (eds.), Biology: Living Machines? Routledge. pp. 123-140.
    One striking feature of the contemporary modeling practice is its interdisciplinarity: the same function forms and equations, and mathematical and computational methods are being transferred across disciplinary boundaries. Within philosophy of science this interdisciplinary dimension of modeling has been addressed by both analogy and template-based approaches that have proceeded separately from each other. We argue that a more fully-blown account of model transfer needs both perspectives. We examine analogical reasoning and template application through a detailed case study on the transfer (...)
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  • Three Models for the Description of Language.N. Chomsky - 1956 - IRE Transactions on Information Theory 2:113-124.
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  • Mathematical Methods in Linguistics.Barbara H. Partee, Alice ter Meulen & Robert E. Wall - 1992 - Journal of Symbolic Logic 57 (1):271-272.
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  • Modelling and knowledge transfer in complexity science.Lena Zuchowski - 2019 - Studies in History and Philosophy of Science Part A 77:120-129.
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  • A Mathematical Theory of Communication.Claude Elwood Shannon - 1948 - Bell System Technical Journal 27 (April 1924):379–423.
    The mathematical theory of communication.
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  • (1 other version)Models and Analogies in Science.Mary B. Hesse - 1963 - [Notre Dame, Ind.]: University of Notre Dame Press.
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  • (6 other versions)The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - Chicago, IL: University of Chicago Press. Edited by Ian Hacking.
    Thomas S. Kuhn's classic book is now available with a new index.
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  • The landing zone – Ground for model transfer in chemistry.Justin Price - 2019 - Studies in History and Philosophy of Science Part A 77:21-28.
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  • Resituating Knowledge: Generic Strategies and Case Studies.Mary S. Morgan - 2014 - Philosophy of Science 81 (5):1012-1024.
    This paper addresses the problem of how scientific knowledge, which is always locally generated, becomes accepted in other sites. The analysis suggests that there are a small number of strategies that enable scientists to resituate knowledge and that these strategies are generic: they are not restricted to specific disciplines or modes of doing science but rather are found in a variety of different forms across the sciences.
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  • Knowledge transfer and its contexts.Catherine Herfeld & Chiara Lisciandra - 2019 - Studies in History and Philosophy of Science Part A 77:1-10.
    Knowledge transfer across different contexts has become an increasingly prevalent feature of current science. As such, it is a relevant topic also for history and philosophy of science. This special issue presents a set of papers that study knowledge transfer in various disciplines. The contributions approach the topic from either an integrated history and philosophy of science perspective, 2) a systematic philosophical perspective, or 3) a historical perspective. This overview article is organized in three sections. The introduction provides some background (...)
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  • On Empirical Methodology, Constraints, and Hierarchy in Artificial Grammar Learning.Willem J. M. Levelt - 2020 - Topics in Cognitive Science 12 (3):942-956.
    Levelt, reviewing the AGL field from a psycholinguistic perspective, identifies various gaps and makes a number of concrete suggestions for improving several currently used experimental designs. He raises the question whether artificial (and natural) grammar learning is about detecting ‘rules’, as is commonly assumed, or rather the detection of a set of ‘constraints’. He cautions the community to not ignore ‘semantics’, and recommends to consider less artificial tasks, that may be needed for learning more complex rules by human or nonhuman (...)
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  • Computational Models.Laurent Itti & Ali Borji - 2014 - In Anna C. Nobre & Sabine Kastner (eds.), The Oxford Handbook of Attention. Oxford University Press.
    This chapter reviews recent progress in computational modelling of visual attention. The authors start with early concepts and models, which have emphasized stimulus-driven guidance of attention towards salient objects in the visual world. They then present a taxonomy of the many different approaches which have emerged in recent research efforts. They then turn to the more complex problem of modelling top-down, task- and goal-driven influences on attention. While early top-down models have been more qualitative in nature, the authors describe several (...)
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  • (1 other version)Computational models.Paul Humphreys - 2002 - Proceedings of the Philosophy of Science Association 2002 (3):S1-S11.
    A different way of thinking about how the sciences are organized is suggested by the use of cross‐disciplinary computational methods as the organizing unit of science, here called computational templates. The structure of computational models is articulated using the concepts of construction assumptions and correction sets. The existence of these features indicates that certain conventionalist views are incorrect, in particular it suggests that computational models come with an interpretation that cannot be removed as well as a prior justification. A form (...)
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  • (1 other version)Analogy and confirmation theory.Mary Hesse - 1964 - Philosophy of Science 31 (4):319-327.
    The argument from analogy is examined from the point of view of Carnap's confirmation theory. It is argued that if inductive arguments are to be applicable to the real world, they must contain elementary analogical inferences. Carnap's system as originally developed (theλ -system) is not strong enough to take account of analogical arguments, but it is shown that the new system, which he has announced but not published in detail (theη -system), is capable of satisfying the conditions of inductive analogy. (...)
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  • Models as products of interdisciplinary exchange: Evidence from evolutionary game theory.Till Grüne-Yanoff - 2011 - Studies in History and Philosophy of Science Part A 42 (2):386-397.
    The development of evolutionary game theory is closely linked with two interdisciplinary exchanges: the import of game theory into biology, and the import of biologists’ version of game theory into economics. This paper traces the history of these two import episodes. In each case the investigation covers what exactly was imported, what the motives for the import were, how the imported elements were put to use, and how they related to existing practices in the respective disciplines. Two conclusions emerged from (...)
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  • The Algebraic Theory of Context-Free Languages.N. Chomsky - 1967 - Journal of Symbolic Logic 32 (3):388-389.
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  • Models on the move: Migration and imperialism.Seamus Bradley & Karim P. Y. Thébault - 2019 - Studies in History and Philosophy of Science Part A 77:81-92.
    We introduce ‘model migration’ as a species of cross-disciplinary knowledge transfer whereby the representational function of a model is radically changed to allow application to a new disciplinary context. Controversies and confusions that often derive from this phenomenon will be illustrated in the context of econophysics and phylogeographic linguistics. Migration can be usefully contrasted with concept of ‘imperialism’, that has been influentially discussed in the context of geographical economics. In particular, imperialism, unlike migration, relies upon extension of the original model (...)
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  • (1 other version)Models and Analogies in Science.Mary B. Hesse - 1966 - Philosophy and Rhetoric 3 (3):190-191.
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  • Discussion [on Second Thoughts on Paradigms, and other papers of the conference].T. S. Kuhn - 1974 - In Frederick Suppe (ed.), The Structure of scientific theories. Urbana,: University of Illinois Press.
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  • Second thoughts on paradigms.Thomas Samuel Kuhn - 1981 - In David Zaret (ed.), Review of Thomas S. Kuhn The Essential Tension: Selected Studies in Scientific Tradition and Change. Duke University Press. pp. 293--319.
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