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  1. Systematicity redux.Brian P. McLaughlin - 2009 - Synthese 170 (2):251-274.
    One of the main challenges that Jerry Fodor and Zenon Pylyshyn (Cognition 28:3–71, 1988) posed for any connectionist theory of cognitive architecture is to explain the systematicity of thought without implementing a Language of Thought (LOT) architecture. The systematicity challenge presents a dilemma: if connectionism cannot explain the systematicity of thought, then it fails to offer an adequate theory of cognitive architecture; and if it explains the systematicity of thought by implementing a LOT architecture, then it fails to offer an (...)
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  • The allure of connectionism reexamined.Brian P. McLaughlin & F. Warfield - 1994 - Synthese 101 (3):365-400.
    There is currently a debate over whether cognitive architecture is classical or connectionist in nature. One finds the following three comparisons between classical architecture and connectionist architecture made in the pro-connectionist literature in this debate: (1) connectionist architecture is neurally plausible and classical architecture is not; (2) connectionist architecture is far better suited to model pattern recognition capacities than is classical architecture; and (3) connectionist architecture is far better suited to model the acquisition of pattern recognition capacities by learning than (...)
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  • The connectionism/classicism battle to win souls.Brian P. McLaughlin - 1993 - Philosophical Studies 71 (2):163-190.
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  • The Allure of Connectionism Reexamined.B. P. McLaughlin & T. A. Warfield - 1994 - Synthese 101 (3):365 - 400.
    There is currently a debate over whether cognitive architecture is classical or connectionist in nature. One finds the following three comparisons between classical architecture and connectionist architecture made in the pro-connectionist literature in this debate: (1) connectionist architecture is neurally plausible and classical architecture is not; (2) connectionist architecture is far better suited to model pattern recognition capacities than is classical architecture; and (3) connectionist architecture is far better suited to model the acquisition of pattern recognition capacities by learning than (...)
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