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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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  • Seeing and imagining in the cerebral hemispheres: A computational approach.Stephen M. Kosslyn - 1987 - Psychological Review 94 (2):148-175.
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  • Fusion, propagation, and structuring in belief networks.Judea Pearl - 1986 - Artificial Intelligence 29 (3):241-288.
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  • Lexical access in aphasic and nonaphasic speakers.Gary S. Dell, Myrna F. Schwartz, Nadine Martin, Eleanor M. Saffran & Deborah A. Gagnon - 1997 - Psychological Review 104 (4):801-838.
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  • Putting knowledge in its place: A scheme for programming parallel processing structures on the fly.James L. McClelland - 1985 - Cognitive Science 9 (1):113-146.
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  • Accessing words in speech production: Stages, processes and representations.Willem J. M. Levelt - 1992 - Cognition 42 (1-3):1-22.
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  • Epistemological challenges for connectionism.John McCarthy - 1988 - Behavioral and Brain Sciences 11 (1):44-44.
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  • The time course of lexical access in speech production: A study of picture naming.Willem J. Levelt, Herbert Schriefers, Dirk Vorberg & Antje S. Meyer - 1991 - Psychological Review 98 (1):122-142.
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  • Structure and Content in Language Production: A Theory of Frame Constraints in Phonological Speech Errors.Gary S. Dell, Cornell Juliano & Anita Govindjee - 1993 - Cognitive Science 17 (2):149-195.
    Theories of language production propose that utterances are constructed by a mechanism that separates linguistic content from linguistic structure, Linguistic content is retrieved from the mental lexicon, and is then inserted into slots in linguistic structures or frames. Support for this kind of model at the phonological level comes from patterns of phonological speech errors. W present an alternative account of these patterns using a connectionist or parallel distributed proceesing (PDP) model that learns to produce sequences of phonological features. The (...)
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  • Structure and controlling subsymbolic processing.Walter Schneider - 1988 - Behavioral and Brain Sciences 11 (1):51-52.
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  • How fully should connectionism be activated? Two sources of excitation and one of inhibition.Roger N. Shepard - 1988 - Behavioral and Brain Sciences 11 (1):52-52.
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  • Information processing abstractions: The message still counts more than the medium.B. Chandrasekaran, Ashok Goel & Dean Allemang - 1988 - Behavioral and Brain Sciences 11 (1):26-27.
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  • Statistical rationality.Richard M. Golden - 1988 - Behavioral and Brain Sciences 11 (1):35-35.
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  • Putting together connectionism – again.Paul Smolensky - 1988 - Behavioral and Brain Sciences 11 (1):59-74.
    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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  • Context effects in lexical processing.Michael K. Tanenhaus & Margery M. Lucas - 1987 - Cognition 25 (1-2):213-234.
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  • Investigation of phonological encoding through speech error analyses: Achievements, limitations, and alternatives.Antje S. Meyer - 1992 - Cognition 42 (1-3):181-211.
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  • From data to dynamics: The use of multiple levels of analysis.Gregory O. Stone - 1988 - Behavioral and Brain Sciences 11 (1):54-55.
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  • From connectionism to eliminativism.Stephen P. Stich - 1988 - Behavioral and Brain Sciences 11 (1):53-54.
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  • Similarities between Cognitive Models of Language Production and Everyday Functioning: Implications for Development of Interventions for Functional Difficulties.Rachel Mis & Tania Giovannetti - 2022 - Topics in Cognitive Science 14 (2):295-310.
    Topics in Cognitive Science, Volume 14, Issue 2, Page 295-310, April 2022.
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  • Smolensky, semantics, and the sensorimotor system.George Lakoff - 1988 - Behavioral and Brain Sciences 11 (1):39-40.
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  • Sanity surrounded by madness.Georges Rey - 1988 - Behavioral and Brain Sciences 11 (1):48-50.
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  • The psychological appeal of connectionism.Denise Dellarosa - 1988 - Behavioral and Brain Sciences 11 (1):28-29.
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  • Dynamic systems and the “subsymbolic level”.Walter J. Freeman - 1988 - Behavioral and Brain Sciences 11 (1):33-34.
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  • (1 other version)Speed, Accuracy, and Serial Order in Sequence Production.Peter Q. Pfordresher, Caroline Palmer & Melissa K. Jungers - 2007 - Cognitive Science 31 (1):63-98.
    The production of complex sequences like music or speech requires the rapid and temporally precise production of events (e.g., notes and chords), often at fast rates. Memory retrieval in these circumstances may rely on the simultaneous activation of both the current event and the surrounding context (Lashley, 1951). We describe an extension to a model of incremental retrieval in sequence production (Palmer & Pfordresher, 2003) that incorporates this logic to predict overall error rates and speed—accuracy trade-offs, as well as types (...)
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  • Connectionism in the golden age of cognitive science.Dan Lloyd - 1988 - Behavioral and Brain Sciences 11 (1):42-43.
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  • Symbols, subsymbols, neurons.William G. Lycan - 1988 - Behavioral and Brain Sciences 11 (1):43-44.
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  • 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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  • The reality of the symbolic and subsymbolic systems.Andrew Woodfield & Adam Morton - 1988 - Behavioral and Brain Sciences 11 (1):58-58.
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  • On the proper treatment of the connection between connectionism and symbolism.Louise Antony & Joseph Levine - 1988 - Behavioral and Brain Sciences 11 (1):23-24.
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  • Connectionism and interlevel relations.William Bechtel - 1988 - Behavioral and Brain Sciences 11 (1):24-25.
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  • Two constructive themes.Richard K. Belew - 1988 - Behavioral and Brain Sciences 11 (1):25-26.
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  • Spontaneous speech in senile dementia and aphasia: Implications for a neurolinguistic model of language production.Gerhard Blanken, Jürgen Dittmann, J. -Christian Haas & Claus-W. Wallesch - 1987 - Cognition 27 (3):247-274.
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  • A Local Connectionist Account of Consonant Harmony in Child Language.Thomas Berg & Ulrich Schade - 2000 - Cognitive Science 24 (1):123-149.
    This study represents an attempt to sketch a processing model of phonological development in children acquiring their first language. The investigation is framed within a local connectionist network in which activation spreads between levels and inhibition within levels. Three ways are focused on in which an emergent processing system may diverge from a fully developed one—hypoactivation (too little activation due to underdeveloped links), hyperactivation (too much activation due to overloaded links) and impaired self‐inhibition. With a view to determining how children's (...)
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  • Is Smolensky's treatment of connectionism on the level?Carol E. Cleland - 1988 - Behavioral and Brain Sciences 11 (1):27-28.
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  • The essential opacity of modular systems: Why even connectionism cannot give complete formal accounts of cognition.Marten J. den Uyl - 1988 - Behavioral and Brain Sciences 11 (1):56-57.
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  • On the proper treatment of Smolensky.Hubert L. Dreyfus & Stuart E. Dreyfus - 1988 - Behavioral and Brain Sciences 11 (1):31-32.
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  • The promise and problems of connectionism.Michael G. Dyer - 1988 - Behavioral and Brain Sciences 11 (1):32-33.
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  • Connectionism and the study of language.R. Freidin - 1988 - Behavioral and Brain Sciences 11 (1):34-35.
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  • On the obvious treatment of connectionism.Stephen José Hanson - 1988 - Behavioral and Brain Sciences 11 (1):38-39.
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  • Common sense and conceptual halos.Douglas R. Hofstadter - 1988 - Behavioral and Brain Sciences 11 (1):35-37.
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  • Some memory, but no mind.Lawrence E. Hunter - 1988 - Behavioral and Brain Sciences 11 (1):37-38.
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  • Physics, cognition, and connectionism: An interdisciplinary alchemy.Wendy G. Lehnert - 1988 - Behavioral and Brain Sciences 11 (1):40-41.
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  • Can this treatment raise the dead?Robert K. Lindsay - 1988 - Behavioral and Brain Sciences 11 (1):41-42.
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  • In defence of neurons.Chris Mortensen - 1988 - Behavioral and Brain Sciences 11 (1):44-45.
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  • Connections among connections.R. J. Nelson - 1988 - Behavioral and Brain Sciences 11 (1):45-46.
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  • Subsymbols aren't much good outside of a symbol-processing architecture.Alan Prince & Steven Pinker - 1988 - Behavioral and Brain Sciences 11 (1):46-47.
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  • (1 other version)Speed, Accuracy, and Serial Order in Sequence Production.Peter Q. Pfordresher, Caroline Palmer & Melissa K. Jungers - 2007 - Cognitive Science: A Multidisciplinary Journal 30 (1):63-98.
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  • A two-dimensional array of models of cognitive function.Gardner C. Quarton - 1988 - Behavioral and Brain Sciences 11 (1):48-48.
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  • Making the connections.Jay G. Rueckl - 1988 - Behavioral and Brain Sciences 11 (1):50-51.
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  • On the proper treatment of thermostats.David S. Touretzky - 1988 - Behavioral and Brain Sciences 11 (1):55-56.
    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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