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  1. Neurophilosophy: Toward A Unified Science of the Mind-Brain.Patricia Smith Churchland - 1986 - MIT Press.
    This is a unique book. It is excellently written, crammed with information, wise and a pleasure to read.' ---Daniel C. Dennett, Tufts University.
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  • The kludge in the machine.Andy Clark - 1987 - Mind and Language 2 (4):277-300.
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  • Connectionism and cognitive architecture: A critical analysis.Jerry A. Fodor & Zenon W. Pylyshyn - 1988 - Cognition 28 (1-2):3-71.
    This paper explores the difference between Connectionist proposals for cognitive a r c h i t e c t u r e a n d t h e s o r t s o f m o d e l s t hat have traditionally been assum e d i n c o g n i t i v e s c i e n c e . W e c l a i m t h a t t h (...)
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  • Physical symbol systems.Allen Newell - 1980 - Cognitive Science 4 (2):135-83.
    On the occasion of a first conference on Cognitive Science, it seems appropriate to review the basis of common understanding between the various disciplines. In my estimate, the most fundamental contribution so far of artificial intelligence and computer science to the joint enterprise of cognitive science has been the notion of a physical symbol system, i.e., the concept of a broad class of systems capable of having and manipulating symbols, yet realizable in the physical universe. The notion of symbol so (...)
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  • Image and Mind.Stephen Michael Kosslyn - 1980 - Harvard University Press.
    The book also introduces a host of new experimental techniques and major hypotheses to guide future research.
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  • (4 other versions)Rules and representations.Noam A. Chomsky - 1980 - Behavioral and Brain Sciences 3 (127):1-61.
    The book from which these sections are excerpted is concerned with the prospects for assimilating the study of human intelligence and its products to the natural sciences through the investigation of cognitive structures, understood as systems of rules and representations that can be regarded as These mental structui′es serve as the vehicles for the exercise of various capacities. They develop in the mind on the basis of an innate endowment that permits the growth of rich and highly articulated structures along (...)
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  • Rules and representations.Noam Chomsky (ed.) - 1980 - New York: Columbia University Press.
    In Rules and Representations, first published in 1980, Noam Chomsky lays out many of the concepts that have made his approach to linguistics and human cognition so instrumental to our understanding of language.Chomsky arrives at his well-known position that there is a universal grammar, structured in the human mind and common to all human languages. Based on Chomsky's 1978 Woodbridge Lectures, this edition contains revised versions of the lectures and two new essays.
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  • (2 other versions)The Principles of Psychology.William James - 1890 - The Monist 1:284.
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  • Elements of Episodic Memory.Endel Tulving - 1983 - Oxford University Press.
    Elements of Episodic Memory is a classic text in the psychology literature. It had a significant influence on research in the area has been much sought after in recent years. Finally, it has now been made available again with this reissue, the text unchanged from the original.
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  • Vision.David Marr - 1982 - W. H. Freeman.
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  • Unified theories of cognition.Allen Newell - 1990 - Cambridge: Harvard University Press.
    In this book, Newell makes the case for unified theories by setting forth a candidate.
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  • The Principles of Psychology.William James - 1890 - London, England: Dover Publications.
    This first volume contains discussions of the brain, methods for analyzing behavior, thought, consciousness, attention, association, time, and memory.
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  • Computation and Cognition: Toward a Foundation for Cognitive Science.Zenon W. Pylyshyn - 1984 - Cambridge: MIT Press.
    This systematic investigation of computation and mental phenomena by a noted psychologist and computer scientist argues that cognition is a form of computation, that the semantic contents of mental states are encoded in the same general way as computer representations are encoded. It is a rich and sustained investigation of the assumptions underlying the directions cognitive science research is taking. 1 The Explanatory Vocabulary of Cognition 2 The Explanatory Role of Representations 3 The Relevance of Computation 4 The Psychological Reality (...)
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  • Autonomy, implementation and cognitive architecture: A reply to Fodor and Pylyshyn.Nick Chater & Mike Oaksford - 1990 - Cognition 34 (1):93-107.
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  • Arguments concerning representations for mental imagery.John R. Anderson - 1978 - Psychological Review (4):249-277.
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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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  • (4 other versions)Rules and representations.Noam Chomsky - 1980 - Behavioral and Brain Sciences 3 (1):1-15.
    The book from which these sections are excerpted is concerned with the prospects for assimilating the study of human intelligence and its products to the natural sciences through the investigation of cognitive structures, understood as systems of rules and representations that can be regarded as “mental organs.” These mental structui′es serve as the vehicles for the exercise of various capacities. They develop in the mind on the basis of an innate endowment that permits the growth of rich and highly articulated (...)
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  • Connectionist Models and Their Properties.J. A. Feldman & D. H. Ballard - 1982 - Cognitive Science 6 (3):205-254.
    Much of the progress in the fields constituting cognitive science has been based upon the use of explicit information processing models, almost exclusively patterned after conventional serial computers. An extension of these ideas to massively parallel, connectionist models appears to offer a number of advantages. After a preliminary discussion, this paper introduces a general connectionist model and considers how it might be used in cognitive science. Among the issues addressed are: stability and noise‐sensitivity, distributed decision‐making, time and sequence problems, and (...)
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  • On the proper treatment of connectionism.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):1-23.
    A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models (...)
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  • (2 other versions)Vision: Variations on Some Berkeleian Themes.Robert Schwartz & David Marr - 1985 - Philosophical Review 94 (3):411.
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  • Parallel Distributed Processing.P. de RumelhartSmolensky, Jl Mcclelland & Ge Hinton - 1987 - In J. L. McClelland & D. E. Rumelhart (eds.). MIT Press.
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  • SOAR: An architecture for general intelligence.John E. Laird, Allen Newell & Paul S. Rosenbloom - 1987 - Artificial Intelligence 33 (1):1-64.
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  • Microcognition.Dan Lloyd & Andy Clark - 1992 - Philosophical Review 101 (3):706.
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