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  1. (1 other version)Computing machinery and intelligence.Alan Turing - 1950 - Mind 59 (236):433-60.
    I propose to consider the question, "Can machines think?" This should begin with definitions of the meaning of the terms "machine" and "think." The definitions might be framed so as to reflect so far as possible the normal use of the words, but this attitude is dangerous, If the meaning of the words "machine" and "think" are to be found by examining how they are commonly used it is difficult to escape the conclusion that the meaning and the answer to (...)
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  • (1 other version)Computing Machinery and Intelligence.Alan M. Turing - 2003 - In John Heil (ed.), Philosophy of Mind: A Guide and Anthology. New York: Oxford University Press.
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  • (1 other version)Models and Metaphors: Studies in Language and Philosophy.Max Black - 1962 - Ithaca, N.Y.,: Cornell University Press.
    Author Max Black argues that language should conform to the discovered regularities of experience it is radically mistaken to assume that the conception of language is a mirror of reality.
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  • Metaphors We Live by.Max Black - 1980 - Journal of Aesthetics and Art Criticism 40 (2):208-210.
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  • Metaphors We Live By.George Lakoff & Mark Johnson - 1980 - Ethics 93 (3):619-621.
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  • (2 other versions)What Metaphors Mean.Donald Davidson - 1978 - Critical Inquiry 5 (1):31-47.
    The concept of metaphor as primarily a vehicle for conveying ideas, even if unusual ones, seems to me as wrong as the parent idea that a metaphor has a special meaning. I agree with the view that metaphors cannot be paraphrased, but I think this is not because metaphors say something too novel for literal expression but because there is nothing there to paraphrase. Paraphrase, whether possible or not, inappropriate to what is said: we try, in paraphrase, to say it (...)
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  • (2 other versions)What Metaphors Mean.Donald Davidson - 2013 - In Maite Ezcurdia & Robert J. Stainton (eds.), The Semantics-Pragmatics Boundary in Philosophy. Peterborough, CA: Broadview Press. pp. 453-465.
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  • Metaphors we live by.George Lakoff & Mark Johnson - 1980 - Chicago: University of Chicago Press. Edited by Mark Johnson.
    The now-classic Metaphors We Live By changed our understanding of metaphor and its role in language and the mind. Metaphor, the authors explain, is a fundamental mechanism of mind, one that allows us to use what we know about our physical and social experience to provide understanding of countless other subjects. Because such metaphors structure our most basic understandings of our experience, they are "metaphors we live by"--metaphors that can shape our perceptions and actions without our ever noticing them. In (...)
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  • How the laws of physics lie.Nancy Cartwright - 1983 - New York: Oxford University Press.
    In this sequence of philosophical essays about natural science, the author argues that fundamental explanatory laws, the deepest and most admired successes of modern physics, do not in fact describe regularities that exist in nature. Cartwright draws from many real-life examples to propound a novel distinction: that theoretical entities, and the complex and localized laws that describe them, can be interpreted realistically, but the simple unifying laws of basic theory cannot.
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  • Why Thought Experiments are Not Arguments.Michael A. Bishop - 1999 - Philosophy of Science 66 (4):534-541.
    Are thought experiments nothing but arguments? I argue that it is not possible to make sense of the historical trajectory of certain thought experiments if one takes them to be arguments. Einstein and Bohr disagreed about the outcome of the clock-in-the-box thought experiment, and so they reconstructed it using different arguments. This is to be expected whenever scientists disagree about a thought experiment's outcome. Since any such episode consists of two arguments but just one thought experiment, the thought experiment cannot (...)
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  • (1 other version)XII.—Metaphor.Max Black - 1955 - Proceedings of the Aristotelian Society 55 (1):273-294.
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  • Thought Experiment: On the Powers and Limits of Imaginary Cases.Tamar Gendler - 2000 - New York: Routledge.
    This book offers a novel analysis of the widely-used but ill-understood technique of thought experiment. The author argues that the powers and limits of this methodology can be traced to the fact that when the contemplation of an imaginary scenario brings us to new knowledge, it does so by forcing us to make sense of exceptional cases.
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  • (1 other version)The Illusion of Depth of Understanding in Science.Petri Ylikoski - 2008 - In Henk W. De Regt, Sabina Leonelli & Kai Eigner (eds.), Scientific Understanding: Philosophical Perspectives. University of Pittsburgh Press. pp. 100--119.
    In this chapter I will employ a well-known scientific research heuristic that studies how something works by focusing on circumstances in which it does not work. Rather than trying to describe what scientific understanding would ideally look like, I will try to learn something about it by observing mundane cases where understanding is partly illusory. My main thesis is that scientists are prone to the illusion of depth of understanding (IDU), and as a consequence they sometimes overestimate the detail, coherence, (...)
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  • Metaphor and Thought.Andrew Ortony (ed.) - 1993 - Cambridge University Press.
    The book will serve as an excellent graduate-level textbook in cognitive psychology, linguistics, and artificial intelligence.
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  • Metaphor and Theory Change.Richard N. Boyd - 1993 - In Andrew Ortony (ed.), Metaphor and Thought. Cambridge University Press.
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  • (1 other version)Models and metaphors.Max Black - 1962 - Ithaca, N.Y.,: Cornell University Press.
    Author Max Black argues that language should conform to the discovered regularities of experience it is radically mistaken to assume that the conception of language is a mirror of reality.
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  • On thought experiments: Is there more to the argument?John D. Norton - 2004 - Philosophy of Science 71 (5):1139-1151.
    Thought experiments in science are merely picturesque argumentation. I support this view in various ways, including the claim that it follows from the fact that thought experiments can err but can still be used reliably. The view is defended against alternatives proposed by my cosymposiasts.
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  • Galileo and the indispensability of scientific thought experiment.Tamar Szabó Gendler - 1998 - British Journal for the Philosophy of Science 49 (3):397-424.
    By carefully examining one of the most famous thought experiments in the history of science—that by which Galileo is said to have refuted the Aristotelian theory that heavier bodies fall faster than lighter ones—I attempt to show that thought experiments play a distinctive role in scientific inquiry. Reasoning about particular entities within the context of an imaginary scenario can lead to rationally justified concluusions that—given the same initial information—would not be rationally justifiable on the basis of a straightforward argument.
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  • (1 other version)Metaphor.Max Black - 1954-1955 - Proceedings of the Aristotelian Society 55:273-294.
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  • Collected Papers of Charles Sanders Peirce: Pragmatism and pragmaticism and Scientific metaphysics.Charles Sanders Peirce - 1960 - Cambridge: Belknap Press.
    Charles Sanders Peirce has been characterized as the greatest American philosophic genius. He is the creator of pragmatism and one of the founders of modern logic. James, Royce, Schroder, and Dewey have acknowledged their great indebtedness to him. A laboratory scientist, he made notable contributions to geodesy, astronomy, psychology, induction, probability, and scientific method. He introduced into modern philosophy the doctrine of scholastic realism, developed the concepts of chance, continuity, and objective law, and showed the philosophical significance of the theory (...)
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  • (1 other version)The Laboratory of the Mind: Thought Experiments in the Natural Sciences.James Robert Brown - 1991 - New York: Routledge.
    Newton's bucket, Einstein's elevator, Schrödinger's cat – these are some of the best-known examples of thought experiments in the natural sciences. But what function do these experiments perform? Are they really experiments at all? Can they help us gain a greater understanding of the natural world? How is it possible that we can learn new things just by thinking? In this revised and updated new edition of his classic text _The Laboratory of the Mind_, James Robert Brown continues to defend (...)
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  • Models, analogies, and theories.Peter Achinstein - 1964 - Philosophy of Science 31 (4):328-350.
    Recent accounts of scientific method suggest that a model, or analogy, for an axiomatized theory is another theory, or postulate set, with an identical calculus. The present paper examines five central theses underlying this position. In the light of examples from physical science it seems necessary to distinguish between models and analogies and to recognize the need for important revisions in the position under study, especially in claims involving an emphasis on logical structure and similarity in form between theory and (...)
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  • Making Truth: Metaphor in Science.Theodore L. Brown - 2003 - University of Illinois Press.
    How does science work? _Making Truth: Metaphor in Science_ argues that most laypeople, and many scientists, do not have a clear understanding of how metaphor relates to scientific thinking. With stunning clarity, and bridging the worlds of scientists and nonscientists, Theodore L. Brown demonstrates the presence and the power of metaphorical thought. He presents a series of studies of scientific systems, ranging from the atom to current topics in chemistry and biology such as protein folding, chaperone proteins, and global warming. (...)
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  • Is Abduction Ignorance-Preserving? Conventions, Models, and Fictions in Science.L. Magnani - 2013 - Logic Journal of the IGPL 21 (6):882--914.
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  • Abductive cognition: the epistemological and eco-cognitive dimensions of hypothetical reasoning.Lorenzo Magnani - 2009 - Heidelberg: Springer Verlag.
    Theoretical and manipulative abduction conjectures and manipulations : the extra-theoretical dimension of scientific discovery. -- Non-explanatory and instrumental abduction : plausibility, implausibility, ignorance preservation. -- Semiotic brains and artificial minds : how brains make up material cognitive systems. -- Neuromultimodal abduction : pre-wired brains, embidiment, neurospaces. -- Animal abduction : from mindless organisms to srtifactual mediators. -- Abduction, affordances, and cognitive niches : sharing representations and creating chances through cognitive niche construction. -- Abduction in human and logical agents : hasty (...)
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  • (2 other versions)What metaphors mean.Donald Davidson - 2010 - In Darragh Byrne & Max Kölbel (eds.), Arguing about language. New York: Routledge. pp. 31.
    The concept of metaphor as primarily a vehicle for conveying ideas, even if unusual ones, seems to me as wrong as the parent idea that a metaphor has a special meaning. I agree with the view that metaphors cannot be paraphrased, but I think this is not because metaphors say something too novel for literal expression but because there is nothing there to paraphrase. Paraphrase, whether possible or not, inappropriate to what is said: we try, in paraphrase, to say it (...)
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  • Igniorance, inference and proof abductive logic meets the criminal law.John Woods - manuscript
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  • (1 other version)The Nature of Explanation.K. J. W. Craik - 1944 - Philosophy 19 (73):173-174.
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  • Models and Metaphors: Studies in Language and Philosophy.William Sacksteder - 1962 - Philosophy and Phenomenological Research 23 (2):289-290.
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  • The Logic of Abduction in the Light of Peirce's Pragmatism.Atocha Aliseda - 2005 - Semiotica 2005 (153 - 1/4):363-374.
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  • The structure-mapping engine: Algorithm and examples.Brian Falkenhainer, Kenneth D. Forbus & Dedre Gentner - 1989 - Artificial Intelligence 41 (1):1-63.
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  • 1979.Andrew Ortony - 1993 - In Metaphor and Thought. Cambridge University Press.
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  • Ignorance: How It Drives Science.Stuart Firestein - 2012 - Oxford University Press.
    Machine generated contents note: -- Chapter 1. A Short View of Ignorance -- Chapter 2. Finding Out -- Chapter 3. Limits, Uncertainty, Impossibility, and Other Minor Problems -- Chapter 4. Unpredicting -- Chapter 5. The Quality of Ignorance -- Chapter 6. Ignorance in Action: Case Histories -- Chapter 7. Ignorance beyond the Lab.
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  • (1 other version)The Nature of Explanation. [REVIEW]E. N. & Kenneth J. W. Craik - 1943 - Journal of Philosophy 40 (24):667.
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  • The eco-cognitive model of abduction.Lorenzo Magnani - 2015 - Journal of Applied Logic 13 (3):285-315.
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  • Thought Experiments as Model-Based Abductions.Selene Arfini - 2006 - In Lorenzo Magnani & Claudia Casadio (eds.), Model Based Reasoning in Science and Technology. Logical, Epistemological, and Cognitive Issues. Cham, Switzerland: Springer International Publishing.
    In this paper we address the classical but still pending question regarding Thought Experiments: how can an imagined scenario bring new information or insight about the actual world? Our claim is that this general problem actually embraces two distinct questions: how can the creation of a just imagined scenario become functional to either a scientific or a philosophical research? and how can Thought Experiments hold a strong inferential power if their structures “do not seem to translate easily into standard forms (...)
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  • In the Theoretician's Laboratory: Thought Experimenting as Mental Modeling.Nancy J. Nersessian - 1992 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:291 - 301.
    Thought experiments have played a prominent role in numerous cases of conceptual change in science. I propose that research in cognitive psychology into the role of mental modeling in narrative comprehension can illuminate how and why thought experiments work. In thought experimenting a scientist constructs and manipulates a mental simulation of the experimental situation. During this process, she makes use of inferencing mechanisms, existing representations, and general world knowledge to make realistic transformations from one possible physical state to the next. (...)
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  • Cognitive Metaphor Theory and the Metaphysics of Immediacy.Mathias W. Madsen - 2016 - Cognitive Science 40 (4):881-908.
    One of the core tenets of cognitive metaphor theory is the claim that metaphors ground abstract knowledge in concrete, first-hand experience. In this paper, I argue that this grounding hypothesis contains some problematic conceptual ambiguities and, under many reasonable interpretations, empirical difficulties. I present evidence that there are foundational obstacles to defining a coherent and cognitively valid concept of “metaphor” and “concrete meaning,” and some general problems with singling out certain domains of experience as more immediate than others. I conclude (...)
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  • (1 other version)Metaphor and Thought.Andrew Ortony & Israel Scheffler - 1981 - Mind 90 (359):448-452.
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