Computation and cognition
Generate an AI Snapshot to get a quick, structured summary of this paper.
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
This joint program prepares students for careers that include advanced applications of articial 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
