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Computationalism

Social Epistemology 4 (2):135-154 (1990)

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  1. Some assumptions underlying Smolensky's treatment of connectionism.Eric Dietrich & Chris Fields - 1988 - Behavioral and Brain Sciences 11 (1):29-31.
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  • Minds, machines and Searle.Stevan Harnad - 1989 - Journal of Theoretical and Experimental Artificial Intelligence 1:5-25.
    Searle's celebrated Chinese Room Argument has shaken the foundations of Artificial Intelligence. Many refutations have been attempted, but none seem convincing. This paper is an attempt to sort out explicitly the assumptions and the logical, methodological and empirical points of disagreement. Searle is shown to have underestimated some features of computer modeling, but the heart of the issue turns out to be an empirical question about the scope and limits of the purely symbolic (computational) model of the mind. Nonsymbolic modeling (...)
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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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  • Minds, machines and Searle.Stevan Harnad - 1989 - Journal of Experimental and Theoretical Artificial Intelligence 1 (4):5-25.
    Searle's celebrated Chinese Room Argument has shaken the foundations of Artificial Intelligence. Many refutations have been attempted, but none seem convincing. This paper is an attempt to sort out explicitly the assumptions and the logical, methodological and empirical points of disagreement. Searle is shown to have underestimated some features of computer modeling, but the heart of the issue turns out to be an empirical question about the scope and limits of the purely symbolic model of the mind. Nonsymbolic modeling turns (...)
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  • Knowledge and the Flow of Information.Fred I. Dretske - 1981 - Stanford, CA: MIT Press.
    This book presents an attempt to develop a theory of knowledge and a philosophy of mind using ideas derived from the mathematical theory of communication developed by Claude Shannon. Information is seen as an objective commodity defined by the dependency relations between distinct events. Knowledge is then analyzed as information caused belief. Perception is the delivery of information in analog form for conceptual utilization by cognitive mechanisms. The final chapters attempt to develop a theory of meaning by viewing meaning as (...)
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  • Competitive Learning: From Interactive Activation to Adaptive Resonance.Stephen Grossberg - 1987 - Cognitive Science 11 (1):23-63.
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  • Understanding natural language.John Haugeland - 1979 - Journal of Philosophy 76 (November):619-32.
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  • Knowledge and the Flow of Information.Fred I. Dretske - 1981 - Revue Philosophique de la France Et de l'Etranger 175 (1):69-70.
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  • Various senses of “intentional system”.Kenneth M. Sayre - 1987 - Behavioral and Brain Sciences 10 (4):760.
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  • Intentionality is a red herring.Chris Fields & Eric Dietrich - 1987 - Behavioral and Brain Sciences 10 (4):756.
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  • Connectionism and the philosophy of mind: An overview.William Bechtel - 1988 - Southern Journal of Philosophy 26 (S1):17-41.
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  • Machines and the mental.Fred Dretske - 1985 - Proceedings and Addresses of the American Philosophical Association 59 (1):23-33.
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