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Computation and cognition

Journal of Experimental & Theoretical Artificial IntelligencePublished 1 January 2003
Charles Wallis
Citations685
SJR quartileQ2
SJR score0.54
SNIP0.86

TL;DR

This joint program prepares students for careers that include advanced applications of articial intelligence and machine learning, as well as further graduate study in systems and cognitive neuroscience, with one academic advisor from each department.

Abstract

Abstract In this paper I look at three theories regarding the exact nature of cognitive state transitions. I briefly dismiss dynamic systems theory as providing no clearly specified explananda consistent with notions of cognition. For remainder of the paper, I focus upon ‘classical’ cognitive science and dynamic computationalism. I present and criticize the two most prominent arguments in the literature. I suggest that proponents of each of these arguments in the literature misunderstand or misapply the technical notions to which they appeal. I conclude the paper by arguing that properly understood, all the types of arguments in the literature support dynamic computationalism. Keywords: Dynamic Systems TheoryClassical Cognitive ScienceDynamic ComputationalismComputational EquivalenceSystematicity

Keywords

Computer ScienceNeuroscience