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  1. Models and representation.Roman Frigg & James Nguyen - 2017 - In Magnani Lorenzo & Bertolotti Tommaso Wayne (eds.), Springer Handbook of Model-Based Science. Springer. pp. 49-102.
    Scientific discourse is rife with passages that appear to be ordinary descriptions of systems of interest in a particular discipline. Equally, the pages of textbooks and journals are filled with discussions of the properties and the behavior of those systems. Students of mechanics investigate at length the dynamical properties of a system consisting of two or three spinning spheres with homogenous mass distributions gravitationally interacting only with each other. Population biologists study the evolution of one species procreating at a constant (...)
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  • Hugh MacColl.[author unknown] - 1910 - Revue de Métaphysique et de Morale 18 (2):1-1.
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  • On interpretation. Aristotle - unknown
  • Classical Logic.Stewart Shapiro & Teresa Kouri Kissel - 2014 - In Edward N. Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford, CA: The Metaphysics Research Lab.
    Typically, a logic consists of a formal or informal language together with a deductive system and/or a model-theoretic semantics. The language is, or corresponds to, a part of a natural language like English or Greek. The deductive system is to capture, codify, or simply record which inferences are correct for the given language, and the semantics is to capture, codify, or record the meanings, or truth-conditions, or possible truth conditions, for at least part of the language.
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  • Scientific Realism.Anjan Chakravartty - 2014 - In Edward N. Zalta (ed.), The Stanford Encyclopedia of Philosophy. Stanford, CA: The Metaphysics Research Lab.
    Debates about scientific realism are closely connected to almost everything else in the philosophy of science, for they concern the very nature of scientific knowledge. Scientific realism is a positive epistemic attitude toward the content of our best theories and models, recommending belief in both observable and unobservable aspects of the world described by the sciences. This epistemic attitude has important metaphysical and semantic dimensions, and these various commitments are contested by a number of rival epistemologies of science, known collectively (...)
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  • Scientific Realism: How Science Tracks Truth.Stathis Psillos - 1999 - New York: Routledge.
    Scientific realism is the optimistic view that modern science is on the right track: that the world really is the way our best scientific theories describe it. In his book, Stathis Psillos gives us a detailed and comprehensive study which restores the intuitive plausibility of scientific realism. We see that throughout the twentieth century, scientific realism has been challenged by philosophical positions from all angles: from reductive empiricism, to instrumentalism and to modern sceptical empiricism. _Scientific Realism_ explains that the history (...)
     
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  • On Understanding and Modeling in Evo-Devo.David Cortés-García & Rodrigo Lopez-Orellana - 2019 - In Matthieu Fontaine, Cristina Barés-Gómez, Francisco Salguero-Lamillar, Lorenzo Magnani & Ángel Nepomuceno-Fernández (eds.), Model-Based Reasoning in Science and Technology: Inferential Models for Logic, Language, Cognition and Computation. Springer Verlag.
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  • Representation in Science.Mauricio Suárez - 2016 - In Paul Humphreys (ed.), The Oxford Handbook of Philosophy of Science. Oxford University Press USA. pp. 440-459.
    This article provides a state of the art review of the philosophical literature on scientific representation. It first argues that the topic emerges historically mainly out of what may be called the modelling tradition. It then introduces a number of helpful analytical distinctions, and goes on to divide contemporary approaches to scientific representation into two distinct kinds, substantive and deflationary. Analogies with related discussions of artistic representation in aesthetics, and of the nature of truth in metaphysics are pursued. It is (...)
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  • Representation in science.Mauricio Suárez - 2016 - In Paul Humphreys (ed.), The Oxford Handbook of Philosophy of Science. Oxford University Press USA.
    This article provides a state-of-the-art review of the philosophical literature on scientific representation. It first argues that the topic emerges historically mainly out of what may be called the modelling tradition. It then introduces a number of helpful analytical distinctions and goes on to divide contemporary approaches to scientific representation into two distinct kinds, substantive and deflationary. Analogies with related discussions of artistic representation in aesthetics and the nature of truth in metaphysics are pursued. It is finally urged that the (...)
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  • Structural realism: The best of both worlds?John Worrall - 1989 - Dialectica 43 (1-2):99-124.
    The no-miracles argument for realism and the pessimistic meta-induction for anti-realism pull in opposite directions. Structural Realism---the position that the mathematical structure of mature science reflects reality---relieves this tension.
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  • Structural representation and surrogative reasoning.Chris Swoyer - 1991 - Synthese 87 (3):449 - 508.
    It is argued that a number of important, and seemingly disparate, types of representation are species of a single relation, here called structural representation, that can be described in detail and studied in a way that is of considerable philosophical interest. A structural representation depends on the existence of a common structure between a representation and that which it represents, and it is important because it allows us to reason directly about the representation in order to draw conclusions about the (...)
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  • An inferential conception of scientific representation.Mauricio Suárez - 2004 - Philosophy of Science 71 (5):767-779.
    This paper defends an inferential conception of scientific representation. It approaches the notion of representation in a deflationary spirit, and minimally characterizes the concept as it appears in science by means of two necessary conditions: its essential directionality and its capacity to allow surrogate reasoning and inference. The conception is defended by showing that it successfully meets the objections that make its competitors, such as isomorphism and similarity, untenable. In addition the inferential conception captures the objectivity of the cognitive representations (...)
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  • A comparison of the meaning and uses of models in mathematics and the empirical sciences.Patrick Suppes - 1960 - Synthese 12 (2-3):287--301.
  • Representation and Surrogate Reasoning: A Proposal from Dialogical Pragmatism.Juan Redmond - 2021 - In Alejandro Cassini & Juan Redmond (eds.), Models and Idealizations in Science: Artifactual and Fictional Approaches. Springer Verlag. pp. 217-234.
    Juan Redmond presents an inferential conception of scientific representation based on the ludic perspective of dialogical pragmatism. He conceives of his proposal as an answer to the question “How models are used to represent the world?” Consequently, he lines up with the host of pragmatic approaches that stress the importance of the notion of use and users for representing and modeling. The main point of his proposal is that users or agents use models to represent their targets doing inferences concerning (...)
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  • MISSing the World. Models as Isolations and Credible Surrogate Systems.Uskali Mäki - 2009 - Erkenntnis 70 (1):29-43.
    This article shows how the MISS account of models—as isolations and surrogate systems—accommodates and elaborates Sugden’s account of models as credible worlds and Hausman’s account of models as explorations. Theoretical models typically isolate by means of idealization, and they are representatives of some target system, which prompts issues of resemblance between the two to arise. Models as representations are constrained both ontologically (by their targets) and pragmatically (by the purposes and audiences of the modeller), and these relations are coordinated by (...)
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  • MISSing the World. Models as Isolations and Credible Surrogate Systems.Uskali Mäki - 2009 - Erkenntnis 70 (1):29-43.
    This article shows how the MISS account of models—as isolations and surrogate systems—accommodates and elaborates Sugden’s account of models as credible worlds and Hausman’s account of models as explorations. Theoretical models typically isolate by means of idealization, and they are representatives of some target system, which prompts issues of resemblance between the two to arise. Models as representations are constrained both ontologically (by their targets) and pragmatically (by the purposes and audiences of the modeller), and these relations are coordinated by (...)
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  • Galilean Idealization.Ernan McMullin - 1985 - Studies in History and Philosophy of Science Part A 16 (3):247.
  • Crítica a la noción de modelo de Patrick Suppes.Rodrigo López-Orellana & Juan Redmond - 2021 - Revista de filosofía (Chile) 78:135-155.
    Nuestro objetivo es analizar críticamente el enfoque de la noción de modelo de Alfred Tarski que Patrick Suppes integra en su concepción semanticista de las teorías científicas. En efecto, mostraremos cómo esta noción se configura en Suppes (1969; 1970) desde una revisión formal de la noción de modelo en Tarski (1936), focalizando nuestro análisis en tres ejes principales: i) una crítica a la perspectiva estática del semanticismo; ii) un análisis de las condiciones restrictivas y el lenguaje para la axiomatización de (...)
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  • The advancement of science: science without legend, objectivity without illusions.Philip Kitcher - 1993 - New York: Oxford University Press.
    During the last three decades, reflections on the growth of scientific knowledge have inspired historians, sociologists, and some philosophers to contend that scientific objectivity is a myth. In this book, Kitcher attempts to resurrect the notions of objectivity and progress in science by identifying both the limitations of idealized treatments of growth of knowledge and the overreactions to philosophical idealizations. Recognizing that science is done not by logically omniscient subjects working in isolation, but by people with a variety of personal (...)
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  • Knowledge in Flux.Henry E. Kyburg & Peter Gardenfors - 1993 - Noûs 27 (4):519-521.
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  • Science without laws.Ronald N. Giere - 1999 - Chicago: University of Chicago Press.
    Debate over the nature of science has recently moved from the halls of academia into the public sphere, where it has taken shape as the "science wars." At issue is the question of whether scientific knowledge is objective and universal or socially mediated, whether scientific truths are independent of human values and beliefs. Ronald Giere is a philosopher of science who has been at the forefront of this debate from its inception, and Science without Laws offers a much-needed mediating perspective (...)
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  • The Scientific Image.William Demopoulos & Bas C. van Fraassen - 1982 - Philosophical Review 91 (4):603.
  • Scientific representation, interpretation, and surrogative reasoning.Gabriele Contessa - 2007 - Philosophy of Science 74 (1):48-68.
    In this paper, I develop Mauricio Suárez’s distinction between denotation, epistemic representation, and faithful epistemic representation. I then outline an interpretational account of epistemic representation, according to which a vehicle represents a target for a certain user if and only if the user adopts an interpretation of the vehicle in terms of the target, which would allow them to perform valid (but not necessarily sound) surrogative inferences from the model to the system. The main difference between the interpretational conception I (...)
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  • Informational versus functional theories of scientific representation.Anjan Chakravartty - 2010 - Synthese 172 (2):197-213.
    Recent work in the philosophy of science has generated an apparent conflict between theories attempting to explicate the nature of scientific representation. On one side, there are what one might call 'informational' views, which emphasize objective relations (such as similarity, isomorphism, and homomorphism) between representations (theories, models, simulations, diagrams, etc.) and their target systems. On the other side, there are what one might call 'functional' views, which emphasize cognitive activities performed in connection with these targets, such as interpretation and inference. (...)
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  • There Is No Special Problem About Scientific Representation.Craig Callender & Jonathan Cohen - 2006 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 21 (1):67-85.
    We propose that scientific representation is a special case of a more general notion of representation, and that the relatively well worked-out and plausible theories of the latter are directly applicable to thc scientific special case. Construing scientific representation in this way makes the so-called “problem of scientific representation” look much less interesting than it has seerned to many, and suggests that some of the (hotly contested) debates in the literature are concerned with non-issues.
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  • There Is No Special Problem About Scientific Representation.Craig Callender & Jonathan Cohen - 2010 - Theoria 21 (1):67-85.
    We propose that scientific representation is a special case of a more general notion of representation, and that the relatively well worked-out and plausible theories of the latter are directly applicable to the scientific special case.
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  • Bielefelder Philosophische Vorlesungen.Karel Lambert - 1997 - Sankt Augustin [Germany]: Academia Verlag.
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  • Thinking about logic: an introduction to the philosophy of logic.Stephen Read - 1994 - New York: Oxford University Press.
    In this book, Stephen Read sets out to rescue logic from its undeserved reputation as an inflexible, dogmatic discipline by demonstrating that its technicalities and processes are founded on assumptions which are themselves amenable to philosophical investigation. He examines the fundamental principles of consequence, logical truth and correct inference within the context of logic, and shows that the principles by which we delineate consequences are themselves not guaranteed free from error. Central to the notion of truth is the beguiling issue (...)
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  • Begriffsschrift: Eine der arithmetischen nachgebildete Formelsprache des reinen Denkens.Gottlob Frege - 1879 - Halle a.d.S.: Louis Nebert.
    Begriffsschrift, eine der arithmetischen nachgebildete Formelsprache des reinen Denkens / von Dr. Gottlob Frege,...Date de l'edition originale : 1879Ce livre est la reproduction fidele d'une oeuvre publiee avant 1920 et fait partie d'une collection de livres reimprimes a la demande editee par Hachette Livre, dans le cadre d'un partenariat avec la Bibliotheque nationale de France, offrant l'opportunite d'acceder a des ouvrages anciens et souvent rares issus des fonds patrimoniaux de la BnF.Les oeuvres faisant partie de cette collection ont ete numerisees (...)
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  • Scientific realism: how science tracks truth.Stathis Psillos - 1999 - New York: Routledge.
    Scientific Realism is the optimistic view that modern science is on the right track: that the world really is the way our best scientific theories describe it to be. In his book, Stathis Psillos gives us a detailed and comprehensive study, which restores the intuitive plausibility of scientific realism. We see that throughout the twentieth century, scientific realism has been challenged by philosophical positions from all angles: from reductive empiricism, to instrumentalism and modern skeptical empiricism. Scientific Realism explains that the (...)
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  • The Fixation of Belief and its Undoing: Changing Beliefs Through Inquiry.Isaac Levi - 1991 - New York, NY, USA: Cambridge University Press.
    Isaac Levi's new book is concerned with how one can justify changing one's beliefs. The discussion is deeply informed by the belief-doubt model advocated by C. S. Peirce and John Dewey, of which the book provides a substantial analysis. Professor Levi then addresses the conceptual framework of potential changes available to an inquirer. A structural approach to propositional attitudes is proposed, which rejects the conventional view that a propositional attitude involves a relation between an agent and either a linguistic entity (...)
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  • The deflationary theory of truth.Daniel Stoljar - 2008 - Stanford Encyclopedia of Philosophy.
    According to the deflationary theory of truth, to assert that a statement is true is just to assert the statement itself. For example, to say that ‘snow is white’ is true, or that it is true that snow is white, is equivalent to saying simply that snow is white, and this, according to the deflationary theory, is all that can be said significantly about the truth of ‘snow is white’.
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  • Scientific Realism.Anjan Chakravartty - 2011 - Stanford Encyclopedia of Philosophy.
    Debates about scientific realism are closely connected to almost everything else in the philosophy of science, for they concern the very nature of scientific knowledge. Scientific realism is a positive epistemic attitude toward the content of our best theories and models, recommending belief in both observable and unobservable aspects of the world described by the sciences. This epistemic attitude has important metaphysical and semantic dimensions, and these various commitments are contested by a number of rival epistemologies of science, known collectively (...)
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  • A free dialogical logic for surrogate reasoning.Juan Redmond - 2021 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 36 (3):297-320.
    This article aims to present a Free Dialogic Logic [FDL] as a general framework for hypothesis generation in the practice of modelling in science. Our proposal is based on the idea that the inferential function that models fulfil during the modelling process (surrogate reasoning) should be carried out without ontological commitments. The starting point to achieve our objective is that the scientific consideration of models without a target is a symptom that, on the one hand, the Applicability of Logic should (...)
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  • Representation in science.Mauricio Suárez - 2015 - The Oxford Handbook of Philosophy of Science.
    This article provides a state-of-the-art review of the philosophical literature on scientific representation. It first argues that the topic emerges historically mainly out of what may be called the modelling tradition. It then introduces a number of helpful analytical distinctions and goes on to divide contemporary approaches to scientific representation into two distinct kinds, substantive and deflationary. Analogies with related discussions of artistic representation in aesthetics and the nature of truth in metaphysics are pursued. It is finally urged that the (...)
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  • Models of data.Patrick Suppes - 1962 - In Ernest Nagel, Patrick Suppes & Alfred Tarski (eds.), Logic, Methodology and Philosophy of Science Proceedings of the 1960 International Congress.
  • Lógica clásica y esquizofrenia: Por una semántica lúdica.Juan Redmond & Rodrigo Lopez-Orellana - 2018 - Revista de filosofía (Chile) 74:214-241.
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  • Knowledge in Flux. Modeling the Dynamics of Epistemic States.Peter Gärdenfors - 1988 - Studia Logica 49 (3):421-424.
     
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  • The tool box of science: Tools for the building of models with a superconductivity example.Nancy Cartwright, Towfic Shomar & Mauricio Suárez - 1995 - Poznan Studies in the Philosophy of the Sciences and the Humanities 44:137-149.
    We call for a new philosophical conception of models in physics. Some standard conceptions take models to be useful approximations to theorems, that are the chief means to test theories. Hence the heuristics of model building is dictated by the requirements and practice of theory-testing. In this paper we argue that a theory-driven view of models can not account for common procedures used by scientists to model phenomena. We illustrate this thesis with a case study: the construction of one of (...)
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  • The Logical Structure of Mathematical Physics.Joseph D. Sneed - 1975 - Erkenntnis 9 (3):423-436.
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  • An Architectonic for Science.Wolfgang Balzer, C. Ulises Moulines & Joseph D. Sneed - 1990 - Philosophy of Science 57 (2):349-350.
     
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  • The semantic approach to scientific theories.Bas C. van Frassen - 1987 - In Nancy J. Nersessian (ed.), The Process of Science: Contemporary Philosophical Approaches to Understanding Scientific Practice. Kluwer Academic Publishers.
     
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