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  1. (2 other versions)Critique of Pure Reason.I. Kant - 1787/1998 - Philosophy 59 (230):555-557.
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  • (4 other versions)The Structure of Scientific Revolutions.Thomas Samuel Kuhn - 1962 - Chicago: University of Chicago Press. Edited by Otto Neurath.
    A scientific community cannot practice its trade without some set of received beliefs. These beliefs form the foundation of the "educational initiation that prepares and licenses the student for professional practice". The nature of the "rigorous and rigid" preparation helps ensure that the received beliefs are firmly fixed in the student's mind. Scientists take great pains to defend the assumption that scientists know what the world is like...To this end, "normal science" will often suppress novelties which undermine its foundations. Research (...)
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  • (4 other versions)The logic of scientific discovery.Karl Raimund Popper - 1934 - New York: Routledge. Edited by Hutchinson Publishing Group.
    Described by the philosopher A.J. Ayer as a work of 'great originality and power', this book revolutionized contemporary thinking on science and knowledge. Ideas such as the now legendary doctrine of 'falsificationism' electrified the scientific community, influencing even working scientists, as well as post-war philosophy. This astonishing work ranks alongside The Open Society and Its Enemies as one of Popper's most enduring books and contains insights and arguments that demand to be read to this day.
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  • Cognition in the Wild.Edwin Hutchins - 1995 - MIT Press.
    Hutchins examines a set of phenomena that have fallen between the established disciplines of psychology and anthropology, bringing to light a new set of relationships between culture and cognition.
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  • Conceptual Revolutions.Paul Thagard - 1992 - Princeton: Princeton University Press.
    In this path-breaking work, Paul Thagard draws on history and philosophy of science, cognitive psychology, and the field of artificial intelligence to develop a ...
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  • Model-Based Reasoning in Scientific Discovery.L. Magnani, Nancy Nersessian & Paul Thagard (eds.) - 1999 - Kluwer/Plenum.
    The book Model-Based Reasoning in Scientific Discovery, aims to explain how specific modeling practices employed by scientists are productive methods of ...
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  • Critique of Pure Reason.Wolfgang Schwarz - 1966 - Philosophy and Phenomenological Research 26 (3):449-451.
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  • Cognition in the Wild.Edwin Hutchins - 1998 - Mind 107 (426):486-492.
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  • Models as Mediators: Perspectives on Natural and Social Science.Mary S. Morgan & Margaret Morrison (eds.) - 1999 - Cambridge University Press.
    Models as Mediators discusses the ways in which models function in modern science, particularly in the fields of physics and economics. Models play a variety of roles in the sciences: they are used in the development, exploration and application of theories and in measurement methods. They also provide instruments for using scientific concepts and principles to intervene in the world. The editors provide a framework which covers the construction and function of scientific models, and explore the ways in which they (...)
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  • Writings of Charles S. Peirce: A Chronological Edition, Volume 3: 1872–1878.Charles S. Peirce - 1986 - Indiana University Press.
    The PEIRCE EDITION contains large sections of previously unpublished material in addition to selected published works. Each volume includes a brief historical and biographical introduction, extensive editorial and textual notes, and a full chronological list of all of Peirce’s writings, published and unpublished, during the period covered.
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  • Model-based reasoning in conceptual change.Nancy J. Nersessian - 1999 - In L. Magnani, Nancy Nersessian & Paul Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum. pp. 5--22.
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  • Model-Based Reasoning: Science, Technology, Values.Lorenzo Magnani & Nancy J. Nersessian (eds.) - 2002 - Boston, MA, USA: Kluwer Academic/Plenum Publishers.
    There are several key ingredients common to the various forms of model-based reasoning considered in this book. The term ‘model’ comprises both internal and external representations. The models are intended as interpretations of target physical systems, processes, phenomena, or situations and are retrieved or constructed on the basis of potentially satisfying salient constraints of the target domain. The book’s contributors are researchers active in the area of creative reasoning in science and technology.
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  • Abduction, Reason, and Science.L. Magnani - 2001 - Kluwer Academic/Plenum Publishers.
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  • A New Mechanism for Transfer Between Conceptual Domains in Scientific Discovery and Education.Gérard Collet, Andrée Tiberghien & Antoine Cornuéjols - 2000 - Foundations of Science 5 (2):129-155.
    Confronted with problems or situations that do not yield toknown theories and world views, scientists and students are alike. Theyare rarely able to directly build a model or a theory thereof. Rather,they must find ways to make sense of the circumstances using theircurrent knowledge and adjusting what is recognized in the process. Thisway of thinking, using past ways of perceiving the physical world tobuild new ones does not follow a logical path and cannot be described astheory revision. Likewise, in many (...)
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  • (1 other version)The Creative Mind: Myths and Mechanisms.Margaret A. Boden - 2003 - Routledge.
    How is it possible to think new thoughts? What is creativity and can science explain it? And just how did Coleridge dream up the creatures of The Ancient Mariner? When The Creative Mind: Myths and Mechanisms was first published, Margaret A. Boden's bold and provocative exploration of creativity broke new ground. Boden uses examples such as jazz improvisation, chess, story writing, physics, and the music of Mozart, together with computing models from the field of artificial intelligence to uncover the nature (...)
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  • 1999.M. Morrison & M. Morgan - 1999 - In Mary S. Morgan & Margaret Morrison (eds.), Models as Mediators: Perspectives on Natural and Social Science. Cambridge University Press.
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  • (1 other version)Philosophy and Geometry: Theoretical and Historical Issues.L. Magnani - 2001 - Kluwer Academic Publisher.
    The total irrelevance of absolute space to scientific observation and experiment led him early to a most radical conclusion: experience cannot teach us anything about the true structure of space; consequently, the choice of a geometry for the ...
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  • Things That Make Us Smart: Defending Human Attributes In The Age Of The Machine.Don Norman & Tamara Dunaeff - 1994 - Basic Books.
    In Things That Make Us Smart, Donald A. Norman explores the complex interaction between human thought and the technology it creates, arguing for the development of machines that fit our minds, rather than minds that must conform to the machine.Humans have always worked with objects to extend our cognitive powers, from counting on our fingers to designing massive supercomputers. But advanced technology does more than merely assist with thought and memory—the machines we create begin to shape how we think and, (...)
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  • Perceiving the infinite and the infinitesimal world: unveiling and optical diagrams and the construction of mathematical concepts.Lorenzo Magnani & Riccardo Dossena - 2005 - Foundations of Science 10 (1):7--23.
    Many important concepts of the calculus are difficult to grasp, and they may appear epistemologically unjustified. For example, how does a real function appear in “small” neighborhoods of its points? How does it appear at infinity? Diagrams allow us to overcome the difficulty in constructing representations of mathematical critical situations and objects. For example, they actually reveal the behavior of a real function not “close to” a point but “in” the point. We are interested in our research in the diagrams (...)
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  • (1 other version)Philosophy and Geometry: Theoretical and Historical Issues.Lorenzo Magnani - 2001 - Springer.
    Philosophers have studied geometry since ancient times. Geometrical knowledge has often played the role of a laboratory for the philosopher's conceptual experiments dedicated to the ideation of powerful theories of knowledge. Lorenzo Magnani's new book Philosophy and Geometry illustrates the rich intrigue of this fascinating story of human knowledge, providing a new analysis of the ideas of many scholars (including Plato, Proclus, Kant, and Poincaré), and discussing conventionalist and neopositivist perspectives and the problem of the origins of geometry. The book (...)
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  • Learningjrom models.Mary S. Morgan - 1999 - In Mary S. Morgan & Margaret Morrison (eds.), Models as Mediators: Perspectives on Natural and Social Science. Cambridge University Press. pp. 52--347.
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  • Abductive reasoning: philosophical and educational perspectives in medicine.L. Magnani - 1992 - In David Andreoff Evans & Vimla L. Patel (eds.), Advanced Models of Cognition for Medical Training and Practice. Springer. pp. 21--41.
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  • Epistemic mediators and model-based discovery in science.L. Magnani - 2002 - In Lorenzo Magnani & Nancy J. Nersessian (eds.), Model-Based Reasoning: Science, Technology, Values. Boston, MA, USA: Kluwer Academic/Plenum Publishers. pp. 305--329.
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  • Experience and Prediction.William R. Dennes - 1939 - Philosophical Review 48 (5):536-538.
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  • Perceiving the infinite and the infinitesimal world: Unveiling and optical diagrams in mathematics. [REVIEW]Lorenzo Magnani & Riccardo Dossena - 2005 - Foundations of Science 10 (1):7-23.
    Many important concepts of the calculus are difficult to grasp, and they may appear epistemologically unjustified. For example, how does a real function appear in “small” neighborhoods of its points? How does it appear at infinity? Diagrams allow us to overcome the difficulty in constructing representations of mathematical critical situations and objects. For example, they actually reveal the behavior of a real function not “close to” a point (as in the standard limit theory) but “in” the point. We are interested (...)
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