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  1. Inductive learning of structural descriptions.Thomas G. Dietterich & Ryszard S. Michalski - 1981 - Artificial Intelligence 16 (3):257-294.
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  • A theory and methodology of inductive learning.Ryszard S. Michalski - 1983 - Artificial Intelligence 20 (2):111-161.
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  • Mind, Language and Reality.[author unknown] - 1975 - Tijdschrift Voor Filosofie 39 (2):361-362.
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  • Word and Object.Willard Van Orman Quine - 1960 - Les Etudes Philosophiques 17 (2):278-279.
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  • (4 other versions)Philosophical investigations.Ludwig Wittgenstein & G. E. M. Anscombe - 1953 - Revue Philosophique de la France Et de l'Etranger 161:124-124.
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  • (2 other versions)Syntactic Structures.J. F. Staal - 1966 - Journal of Symbolic Logic 31 (2):245-251.
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  • Patterns of Discovery.Norwood R. Hanson, A. D. Ritchie & Henryk Mehlberg - 1960 - British Journal for the Philosophy of Science 10 (40):346-349.
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  • Brainstorms.Daniel Dennett - 1978 - Philosophy of Science 47 (2):326-327.
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  • (1 other version)Thought.Gilbert Harman - 1973 - Noûs 11 (4):421-430.
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  • (1 other version)The Modularity of Mind.Robert Cummins & Jerry Fodor - 1983 - Philosophical Review 94 (1):101.
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  • (1 other version)Thought.Gilbert Harman & Laurence BonJour - 1975 - Philosophical Review 84 (2):256.
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  • Constraints on knowledge and cognitive development.Frank C. Keil - 1981 - Psychological Review 88 (3):197-227.
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  • Features of similarity.Amos Tversky - 1977 - Psychological Review 84 (4):327-352.
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  • (1 other version)Judgment under Uncertainty: Heuristics and Biases.Amos Tversky & Daniel Kahneman - 1974 - Science 185 (4157):1124-1131.
    This article described three heuristics that are employed in making judgements under uncertainty: representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value (...)
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  • Computers and Intractability. A Guide to the Theory of NP-Completeness.Michael R. Garey & David S. Johnson - 1983 - Journal of Symbolic Logic 48 (2):498-500.
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  • (1 other version)Conjectures and Refutations.K. Popper - 1963 - Les Etudes Philosophiques 21 (3):431-434.
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  • Rational belief.Henry E. Kyburg - 1983 - Behavioral and Brain Sciences 6 (2):231-245.
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  • The question: Not shall it be, but which shall it be?Charles P. Shimp - 1984 - Behavioral and Brain Sciences 7 (4):536-537.
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  • Probabilistic discrimination learning in the pigeon.Charles P. Shimp - 1973 - Journal of Experimental Psychology 97 (3):292.
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  • Probabilistic discrimination learning.W. K. Estes, C. J. Burke, R. C. Atkinson & J. P. Frankmann - 1957 - Journal of Experimental Psychology 54 (4):233.
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  • Distributed memory and the representation of general and specific information.James L. McClelland & David E. Rumelhart - 1985 - Journal of Experimental Psychology 114 (2):159-188.
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  • Categorical perception.Stevan Harnad - 2003 - In L. Nadel (ed.), Encyclopedia of Cognitive Science. Nature Publishing Group. pp. 67--4.
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  • The instability of graded structure: Implications for the nature of concepts.Lawrence Barsalou - 1981 - In Ulric Neisser (ed.), Concepts and Conceptual Development: Ecological and Intellectual Factors in Categorization. Cambridge University Press. pp. 101-140.
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  • Patterns of discovery.Norwood Russell Hanson - 1958 - Cambridge [Eng.]: University Press.
    In this 1958 book, Professor Hanson turns to an equally important but comparatively neglected subject, the philosophical aspects of research and discovery.
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  • Relevance: Communication and Cognition.Dan Sperber & Deirdre Wilson - 1986/1995 - Oxford: Blackwell.
    This revised edition includes a new Preface outlining developments in Relevance Theory since 1986, discussing the more serious criticisms of the theory, and ...
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  • Categorization and representation of physics problems by experts and novices.Michelene T. H. Chi, Paul J. Feltovich & Robert Glaser - 1981 - Cognitive Science 5 (2):121-52.
    The representation of physics problems in relation to the organization of physics knowledge is investigated in experts and novices. Four experiments examine the existence of problem categories as a basis for representation; differences in the categories used by experts and novices; differences in the knowledge associated with the categories; and features in the problems that contribute to problem categorization and representation. Results from sorting tasks and protocols reveal that experts and novices begin their problem representations with specifiably different problem categories, (...)
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  • Aspects of the Theory of Syntax.Noam Chomsky - 1965 - Cambridge, MA, USA: MIT Press.
    Chomsky proposes a reformulation of the theory of transformational generative grammar that takes recent developments in the descriptive analysis of particular ...
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  • Syntactic Structures.Noam Chomsky - 1957 - Mouton.
    Noam Chomsky's book on syntactic structures is a serious attempts on the part of a linguist to construct within the tradition of scientific theory-construction ...
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  • The web of belief.Willard Van Orman Quine & J. S. Ullian - 1970 - New York,: Random House. Edited by J. S. Ullian.
    A compact, coherent introduction to the study of rational belief, this text provides points of entry to such areas of philosophy as theory of knowledge, methodology of science, and philosophy of language. The book is accessible to all undergraduates and presupposes no philosophical training.
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  • The principles of scientific thinking.Rom Harré - 1970 - London,: Macmillan.
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  • Causal powers: a theory of natural necessity.Rom Harré & Edward H. Madden - 1975 - Totowa, N.J.: Rowman & Littlefield. Edited by Edward H. Madden.
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  • Representations: philosophical essays on the foundations of cognitive science.Jerry A. Fodor - 1981 - Cambridge: MIT Press.
    Introduction: Something on the State of the Art 1 I. Functionalism and Realism 1. Operationalism and Ordinary Language 35 2. The Appeal to Tacit Knowledge in Psychological Explanations 63 3. What Psychological States are Not 79 4. Three Cheers for Propositional Attitudes 100 II. Reduction and Unity of Science 5. Special Sciences 127 6. Computation and Reduction 146 III. Intensionality and Mental Representation 7. Propositional Attitudes 177 8. Tom Swift and His Procedural Grandmother 204 9. Methodological Solipsism Considered as a (...)
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  • (2 other versions)Fact, Fiction, and Forecast.Nelson Goodman - 1983 - Cambridge: Harvard University Press.
    In his new foreword to this edition, Hilary Putnam forcefully rejects these nativist claims.
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  • On The Nature Of Representation: A Case Study Of James Gibson's Theory Of Perception.Mark H. Bickhard & D. Michael Richie - 1983 - Ny: Praeger.
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  • Categories and Concepts.Edward E. Smith & L. Douglas - 1981 - Harvard University Press.
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  • On the adequacy of prototype theory as a theory of concepts.Daniel N. Osherson & Edward E. Smith - 1981 - Cognition 9 (1):35-58.
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  • Language, Thought, and Other Biological Categories: New Foundations for Realism.Ruth Garrett Millikan - 1984 - MIT Press.
    Preface by Daniel C. Dennett Beginning with a general theory of function applied to body organs, behaviors, customs, and both inner and outer representations, ...
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  • (1 other version)Brainstorms.Daniel C. Dennett - 1978 - MIT Press.
    This collection of 17 essays by the author offers a comprehensive theory of mind, encompassing traditional issues of consciousness and free will.
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  • The Language of Thought.Jerry A. Fodor - 1975 - Harvard University Press.
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  • Thought.Gilbert Harman - 1973 - Princeton, NJ, USA: Princeton University Press.
    Thoughts and other mental states are defined by their role in a functional system. Since it is easier to determine when we have knowledge than when reasoning has occurred, Gilbert Harman attempts to answer the latter question by seeing what assumptions about reasoning would best account for when we have knowledge and when not. He describes induction as inference to the best explanation, or more precisely as a modification of beliefs that seeks to minimize change and maximize explanatory coherence. Originally (...)
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  • Generalization learning techniques for automating the learning of heuristics.D. A. Waterman - 1970 - Artificial Intelligence 1 (1-2):121-170.
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  • Fact, Fiction and Forecast.Edward H. Madden - 1955 - Philosophy and Phenomenological Research 16 (2):271-273.
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  • (1 other version)Induction: Processes of Inference, Learning, and Discovery.John H. Holland, Keith J. Holyoak, Richard E. Nisbett & Paul R. Thagard - 1991 - British Journal for the Philosophy of Science 42 (2):269-272.
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  • Conjectures and Refutations: The Growth of Scientific Knowledge.Mary Hesse - 1965 - Philosophical Quarterly 15 (61):372-374.
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  • Language, Thought, and Other Biological Categories.Ruth Garrett Millikan - 1984 - Behaviorism 14 (1):51-56.
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  • Aspects of the Theory of Syntax.Ann S. Ferebee - 1965 - Journal of Symbolic Logic 35 (1):167.
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  • (2 other versions)Controlled and automatic human information processing: I. Detection, search, and attention.Walter Schneider & Richard M. Shiffrin - 1977 - Psychological Review 84 (1):1-66.
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  • The organism and the causal texture of the environment.E. C. Tolman & E. Brunswik - 1935 - Psychological Review 42 (1):43-77.
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  • (1 other version)The role of theories in conceptual coherence.Gregory L. Murphy & Douglas L. Medin - 1985 - Psychological Review 92 (3):289-316.
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  • A Treatise on Induction and Probability.Georg Henrik Von Wright - 1951 - New York, NY, USA: Routledge.
    First published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.
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