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  1. 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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  • A parallel network that learns to play backgammon.G. Tesauro & T. J. Sejnowski - 1989 - Artificial Intelligence 39 (3):357-390.
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  • A blackboard architecture for control.Barbara Hayes-Roth - 1985 - Artificial Intelligence 26 (3):251-321.
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  • (1 other version)A learning algorithm for boltzmann machines.David H. Ackley, Geoffrey E. Hinton & Terrence J. Sejnowski - 1985 - Cognitive Science 9 (1):147-169.
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  • Perceptual organization and the representation of natural form.Alex P. Pentland - 1986 - Artificial Intelligence 28 (3):293-331.
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  • Connectionist learning procedures.Geoffrey E. Hinton - 1989 - Artificial Intelligence 40 (1-3):185-234.
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  • (1 other version)An Overview of the KL‐ONE Knowledge Representation System.Ronald J. Brachman & James G. Schmolze - 1985 - Cognitive Science 9 (2):171-216.
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