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  1. (2 other versions)Knowledge and the flow of information.F. Dretske - 1989 - Trans/Form/Ação 12:133-139.
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  • Image and Brain: The Resolution of the Imagery Debate.Stephen M. Kosslyn - 1994 - MIT Press.
    This long-awaited work by prominent Harvard psychologist Stephen Kosslyn integrates a twenty-year research program on the nature of high-level vision and mental ...
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  • Representations, Targets, and Attitudes.Robert Cummins - 1996 - MIT Press.
    "This is an important new Cummins work.
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  • (2 other versions)Languages of Art. An Approach to a Theory of Symbols.Nelson Goodman - 1970 - Critica 4 (11/12):164-171.
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  • (1 other version)Vagueness.Bertrand Russell - 1923 - Australasian Journal of Philosophy 1 (2):84 – 92.
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  • (1 other version)Vagueness.Bertrand Russell - 1923 - Australasian Journal of Psychology and Philosophy 1 (2):84-92.
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  • Why a diagram is (sometimes) worth 10, 000 word.Jill H. Larkin & Herbert A. Simon - 1987 - Cognitive Science 11 (1):65-99.
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  • Logic and the complexity of reasoning.Hector J. Levesque - 1988 - Journal of Philosophical Logic 17 (4):355 - 389.
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  • Problem-solving with diagrammatic representations.Brian V. Funt - 1980 - Artificial Intelligence 13 (3):201-230.
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  • Heterogeneous logic.Jon Barwise & John Etchemendy - 1996 - In Gerard Allwein & Jon Barwise (eds.), Logical reasoning with diagrams. New York: Oxford University Press.
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  • Imagery and artificial intelligence.Zenon W. Pylyshyn - 1978 - In W. Savage (ed.), Perception and Cognition. University of Minnesota Press. pp. 105-115.
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  • Mental Representation, Conceptual Spaces and Metaphors.Peter Gärdenfors - 1996 - Synthese 106 (1):21 - 47.
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  • Aligning logical and psychological perspectives on diagrammatic reasoning.Keith Stenning & Oliver Lemon - 2001 - Artificial Intelligence Review 15:29--62.
    We advance a theoretical framework which combines recent insights of research in logic, psychology, and formal semantics, on the nature of diagrammatic representation and reasoning. In particular, we wish to explain the varied efficacy of reasoning and representing with diagrams. In general we consider diagrammatic representations to be restricted in expressive power, and we wish to explain efficacy of reasoning with diagrams via the semantical and computational properties of such restricted `languages'. Connecting these foundational insights (from semantics and complexity theory) (...)
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  • On the Insufficiency of Linear Diagrams for Syllogisms.Oliver Lemon & Ian Pratt - 1998 - Notre Dame Journal of Formal Logic 39 (4):573-580.
    In Volume 33:1 of the Notre Dame Journal of Formal Logic, a system for diagramming syllogistic inferences using straight line segments is presented by Englebretsen. In light of recent research on the representational power of diagrammatic representation systems by the authors, we point out some problems with the proposal, and indeed, with any proposal for representing logically possible situations diagrammatically. We shall first outline the proposed linear diagrammatic system of Englebretsen, and then show by means of counterexamples that it is (...)
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  • Ordinary pictures, mental representations, and logical forms.Robert Howell - 1976 - Synthese 33 (2-4):149 - 174.
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  • On the Efficacy of Representation.Atsushi Shimojima - 1996 - Dissertation, Indiana University
    We define a "representation" as an external object with which we denote another object and present information about it to ourselves or others. All the following objects count as representations in our sense: a set of Japanese declarative sentences describing Mount Fuji, a time table of the Boston subway system, a geometry diagram used to demonstrate the Pythagorean theorem, a state map of the United States, a relief map of a Rocky terrain, a ball-and-stick model of a molecular, and a (...)
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