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  1. Causality: Models, Reasoning and Inference.Judea Pearl - 2000 - New York: Cambridge University Press.
    Causality offers the first comprehensive coverage of causal analysis in many sciences, including recent advances using graphical methods. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artificial intelligence, business, epidemiology, social science and economics.
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  • The Modularity of Mind.Robert Cummins & Jerry Fodor - 1983 - Philosophical Review 94 (1):101.
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  • Individualism and the mental.Tyler Burge - 1979 - Midwest Studies in Philosophy 4 (1):73-122.
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  • Of identity and diversity (book II, chapter XXVII).John Locke - 1689 - In An essay concerning human understanding. New York: Oxford University Press.
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  • Coining Terms In The Language of Thought.Robert D. Rupert - 2001 - Journal of Philosophy 98 (10):499-530.
    Robert Cummins argues that any causal theory of mental content (CT) founders on an established fact of human psychology: that theory mediates sensory detection. He concludes,.
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  • The Measure of Mind: Propositional Attitudes and their Attribution * By ROBERT J. MATTHEWS.Robert Matthews - 2009 - Analysis 69 (1):185-187.
    The deflationary aim of this book, which occupies Part I, is to show that a widely held view has little to be said for it. The constructive aim, pursued in Part II, is to make plausible a measure-theoretic account of propositional attitudes. The discussion is throughout instructive, illuminating and sensitive to the many intricacies surrounding attitude ascriptions and how they can carry information about a subject's psychology. There is close engagement with cognitive science. The book should be read by anyone (...)
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  • How to acquire a concept.Eric Margolis - 1998 - Mind and Language 13 (3):347-369.
    In this paper, I develop a novel account of concept acquisition for an atomistic theory of concepts. Conceptual atomism is rarely explored in cognitive science because of the feeling that atomistic treatments of concepts are inherently nativistic. My model illustrates, on the contrary, that atomism does not preclude the learning of a concept.
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  • Causality: Models, Reasoning and Inference.Christopher Hitchcock & Judea Pearl - 2001 - Philosophical Review 110 (4):639.
    Judea Pearl has been at the forefront of research in the burgeoning field of causal modeling, and Causality is the culmination of his work over the last dozen or so years. For philosophers of science with a serious interest in causal modeling, Causality is simply mandatory reading. Chapter 2, in particular, addresses many of the issues familiar from works such as Causation, Prediction and Search by Peter Spirtes, Clark Glymour, and Richard Scheines. But philosophers with a more general interest in (...)
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  • A Theory of Causal Learning in Children: Causal Maps and Bayes Nets.Alison Gopnik, Clark Glymour, Laura Schulz, Tamar Kushnir & David Danks - 2004 - Psychological Review 111 (1):3-32.
    We propose that children employ specialized cognitive systems that allow them to recover an accurate “causal map” of the world: an abstract, coherent, learned representation of the causal relations among events. This kind of knowledge can be perspicuously understood in terms of the formalism of directed graphical causal models, or “Bayes nets”. Children’s causal learning and inference may involve computations similar to those for learning causal Bayes nets and for predicting with them. Experimental results suggest that 2- to 4-year-old children (...)
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  • The Language of Thought.Patricia Smith Churchland - 1975 - Noûs 14 (1):120-124.
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  • Fodor’s Guide to Mental Representation: The Intelligent Auntie’s Vade-Mecum.Jerry A. Fodor - 1985 - Mind 94 (373):76-100.
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  • Concepts: Where Cognitive Science Went Wrong.Jerry A. Fodor - 1998 - Oxford, GB: Oxford University Press.
    The renowned philosopher Jerry Fodor, a leading figure in the study of the mind for more than twenty years, presents a strikingly original theory on the basic constituents of thought. He suggests that the heart of cognitive science is its theory of concepts, and that cognitive scientists have gone badly wrong in many areas because their assumptions about concepts have been mistaken. Fodor argues compellingly for an atomistic theory of concepts, deals out witty and pugnacious demolitions of rival theories, and (...)
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  • Naming and Necessity.S. Kripke - 1972 - Tijdschrift Voor Filosofie 45 (4):665-666.
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  • The origin of concepts.Susan Carey - 2009 - New York: Oxford University Press.
    Only human beings have a rich conceptual repertoire with concepts like tort, entropy, Abelian group, mannerism, icon and deconstruction. How have humans constructed these concepts? And once they have been constructed by adults, how do children acquire them? While primarily focusing on the second question, in The Origin of Concepts , Susan Carey shows that the answers to both overlap substantially. Carey begins by characterizing the innate starting point for conceptual development, namely systems of core cognition. Representations of core cognition (...)
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  • Uber Sinn und Bedeutung.Gottlob Frege - 1892 - Zeitschrift für Philosophie Und Philosophische Kritik 100 (1):25-50.
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  • Baptizing meanings for concepts.Iris Oved - 2009 - Dissertation, Rutgers University
    Most people find it obvious that concepts like APPLE, DOG, WATER, CACTUS, SWIM, CHIRP, FURRY, and SMOOTH are acquired from perceptual experiences along with some kind of inferential procedure. Models of how these concepts are inferentially acquired, however, force the acquired concepts to be representationally complex, built from, and composed by, the more primitive representations. Since at least the time of Plato, philosophers and psychologists have struggled to find complex sets of representations that have the same meanings, definitionally or probabilistically, (...)
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  • The present status of the innateness controversy.Jerry A. Fodor - 1981 - In Jerry Fodor (ed.), RePresentations: Philosophical Essays on the Foundations of Cognitive Science. Cambridge, MA: MIT Press. pp. 257-316.
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  • Data-mining probabilists or experimental determinists.Thomas Richardson, Laura Schulz & Alison Gopnik - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press. pp. 208--230.
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