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  1. Naive physics.Barry Smith & Roberto Casati - 1994 - Philosophical Psychology 7 (2):227 – 247.
    The project of a 'naive physics' has been the subject of attention in recent years above all in the artificial intelligence field, in connection with work on common-sense reasoning, perceptual representation and robotics. The idea of a theory of the common-sense world is however much older than this, having its roots not least in the work of phenomenologists and Gestalt psychologists such as K hler, Husserl, Schapp and Gibson. This paper seeks to show how contemporary naive physicists can profit from (...)
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  • The structures of the common-sense world.Barry Smith - 1995 - Acta Philosophica Fennica 58:290–317.
    While contemporary philosophers have devoted vast amounts of attention to the language we use in describing and finding our way about the world of everyday experience, they have, with few exceptions, refused to see this world itself as a fitting object of theoretical concern. In what follows I shall seek to show how the commonsensical world might be treated ontologically as an object of investigation in its own right. At the same time I shall seek to establish how such a (...)
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  • La physique naïve: un essai d'ontologie.Barry Smith & Roberto Casati - 1993 - Intellectica 17 (2):173--197.
    The project of a naive physics has been the subject of attention in recent years above all in the artificial intelligence field, in connection with work on common-sense reasoning, perceptual representation and robotics. The idea of a theory of the common-sense world is however much older than this, having its roots not least in the work of phenomenologists and Gestalt psychologists such as Kohler, Husserl, Schapp and Gibson. This paper seeks to show how contemporary naive physicists can profit from a (...)
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  • Why Connectionism is Such a Good Thing. A Criticism of Fodor and Pylyshyn's Criticism of Smolensky.Jean Petitot - 1991 - Philosophica 47.
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  • Topological Foundations of Cognitive Science.Carola Eschenbach, Christopher Habel & Barry Smith (eds.) - 1984 - Hamburg: Graduiertenkolleg Kognitionswissenschaft.
    A collection of papers presented at the First International Summer Institute in Cognitive Science, University at Buffalo, July 1994, including the following papers: ** Topological Foundations of Cognitive Science, Barry Smith ** The Bounds of Axiomatisation, Graham White ** Rethinking Boundaries, Wojciech Zelaniec ** Sheaf Mereology and Space Cognition, Jean Petitot ** A Mereotopological Definition of 'Point', Carola Eschenbach ** Discreteness, Finiteness, and the Structure of Topological Spaces, Christopher Habel ** Mass Reference and the Geometry of Solids, Almerindo E. Ojeda (...)
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  • Questions regarding Husserlian geometry and phenomenology. A study of the concept of manifold and spatial perception.Luciano Boi - 2004 - Husserl Studies 20 (3):207-267.
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  • Towards a dynamic connectionist model of memory.Douglas Vickers & Michael D. Lee - 1997 - Behavioral and Brain Sciences 20 (1):40-41.
    Glenberg's account falls short in several respects. Besides requiring clearer explication of basic concepts, his account fails to recognize the autonomous nature of perception. His account of what is remembered, and its description, is too static. His strictures against connectionist modeling might be overcome by combining the notions of psychological space and principled learning in an embodied and situated network.
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  • Entre neurosciences & psychologie cognitive: Une frontière en question.Alain Tëte - 1994 - Revue de Synthèse 115 (3-4):485-502.
    L’apparition des modèles connexionnistes dans les années 1980 a transformé le problème de la frontière séparant les neurosciences de la psychologie cognitive. Alors que les modèles cognitivistes de traitement symbolique s’inspiraient directement de « l’architecture von Neumann » des ordinateurs et laissaient aux neurosciences le soin de décrire en termes physicalistes l’inscription matérielle du symbolique(« l’implémentation»), les modèles connexionnistes proposent des formalismes mathématiques qui rendent compte, en termes de systèmes dynamiques, de cette implémentation. À la frontière entre niveaux neuronaux et (...)
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