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Integrated Models of Cognitive Systems$
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Wayne D. Gray

Print publication date: 2007

Print ISBN-13: 9780195189193

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780195189193.001.0001

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Reasoning as Cognitive Self-Regulation

Reasoning as Cognitive Self-Regulation

Chapter:
(p.76) 6 Reasoning as Cognitive Self-Regulation
Source:
Integrated Models of Cognitive Systems
Author(s):

Nicholas L. Cassimatis

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195189193.003.0006

Comprehensive models of reasoning require models of cognitive control and vice versa. The cognitive architectures used to model the cognitive processes involved in reasoning and control are based on many different computational formalisms that are difficult to integrate with one another. This chapter describes two computational principles and five hypotheses about human cognitive architecture that (together with empirical studies of cognition) motivate a solution to this problem. These hypotheses posit an integrative focus of cognitive attention and conceive of reasoning strategies as the generalization of attention control strategies from visual perception (for example, habituation and negative priming). Further, a unifying theme among these cognitive attention control strategies is that they can each be seen as the mind's way of regulating its own activity and addressing cognitive problems (such as contradiction or uncertainty) that arise during normal cognition and perception. These principles and hypotheses enable an integrated view of cognitive architecture that explains how cognitive and perceptual processes that were previously difficult to model within one computational framework can exist and interact within the human mind.

Keywords:   reasoning, cognitive control, cognitive architecture, cognition, cognitive attention, attention control, visual perception, perception, human mind, habituation

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