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  1. Discrimination Nets as Psychological Models.Lawrence W. Barsalou & Gordon H. Bower - 1984 - Cognitive Science 8 (1):1-26.
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  • Back to basics.Jonathan Baron - 1985 - Behavioral and Brain Sciences 8 (4):706-706.
  • Access and inference in categorization.Lawrence W. Barsalou - 1990 - Bulletin of the Psychonomic Society 28 (3):268-271.
  • Unconscious semantic processing: The pendulum keeps on swinging.David A. Balota - 1986 - Behavioral and Brain Sciences 9 (1):23-24.
  • Bringing together some old and new concerns about dual-route theory.David A. Balota - 1985 - Behavioral and Brain Sciences 8 (4):705-706.
  • On the proper treatment of the connection between connectionism and symbolism.Louise Antony & Joseph Levine - 1988 - Behavioral and Brain Sciences 11 (1):23-24.
  • Cognitive psychology.John R. Anderson - 1984 - Artificial Intelligence 23 (1):1-11.
  • Brain mechanisms in classical conditioning.A. Alexieva & N. A. Nicolov - 1989 - Behavioral and Brain Sciences 12 (1):137-137.
  • Representations without rules, connectionism and the syntactic argument.Kenneth Aizawa - 1994 - Synthese 101 (3):465-92.
    Terry Horgan and John Tienson have suggested that connectionism might provide a framework within which to articulate a theory of cognition according to which there are mental representations without rules (RWR) (Horgan and Tienson 1988, 1989, 1991, 1992). In essence, RWR states that cognition involves representations in a language of thought, but that these representations are not manipulated by the sort of rules that have traditionally been posited. In the development of RWR, Horgan and Tienson attempt to forestall a particular (...)
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  • Sentence-in-noise perception in Monolinguals and Multilinguals: The effect of contextual meaning, and linguistic and cognitive load.Charles Massingham - 2018 - Dissertation, Durham University
    This study proposes a framework by which grammatically and syntactically sound sentences are classified through the perceptual measurement in noise of multilinguals and monolinguals, using an objective measure called SPERI and an interpretivist measure called SPIn, with results evaluated using Shortlist models and the BLINCS model. Hereby filling a knowledge gap on the perception of sentences that combine in varying levels of contextual meaning, linguistic load and cognitive load, this study used sentence clustering methods to find limitations of the proposed (...)
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