Computation and cognition
Author:
Charles Wallis a
| Affiliation: | a Department of Philosophy, California State University, Long Beach, 1250 Bellflower Boulevard, McIntosh Humanities Building (MHB) 917, Long Beach, CA 90840-2408, USA e-mail: cwallis@csulb.edu. |
DOI:
10.1080/0952813021000055199
Publication Frequency:
4 issues per year
Published in:
Journal of Experimental & Theoretical Artificial Intelligence,
Volume
15,
Issue
2
2003
, pages 177
- 193
Subjects:
Cognitive Artificial Intelligence.;
Cognitive Psychology;
Cognitive Science;
Evolutionary Computing;
Human Computer Intelligence;
Machine Learning - Design;
Neural Networks;
Robotics;
Systems & Controls;
Formats available:
PDF
(English)
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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 Theory; Classical Cognitive Science; Dynamic Computationalism; Computational Equivalence; Systematicity |

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