article

2009 Special Issue: A motivationally-based simulation of performance degradation under pressure

Authors:

Nicholas R. Wilson,

Robert C. MathewsAuthors Info & Claims

Neural Networks, Volume 22, Issue 5-6

Pages 502 - 508

https://doi.org/10.1016/j.neunet.2009.06.022

Published: 01 July 2009 Publication History

Abstract

The CLARION cognitive architecture has been shown to be capable of simulating and explaining a wide range of psychological tasks and data. Currently, two theories exist to explain the psychological phenomenon of performance degradation under pressure: the distraction theory and the explicit-monitoring theory. However, neither provides a detailed mechanistic explanation of the exact processes involved. We propose such a detailed theory within the CLARION cognitive architecture that takes into account motivation and the interaction between explicit and implicit processes. We then use our theory to provide a plausible explanation of some existing data. The data are simulated using the theory within the CLARION cognitive architecture.

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Cited By

Sun R(2020) Potential of full human–machine symbiosis through truly intelligent cognitive systemsAI & Society10.1007/s00146-017-0775-735:1(17-28)Online publication date: 1-Mar-2020
https://dl.acm.org/doi/10.1007/s00146-017-0775-7
Kotseruba ITsotsos J(2018)40 years of cognitive architectures: core cognitive abilities and practical applicationsArtificial Intelligence Review10.1007/s10462-018-9646-y53:1(17-94)Online publication date: 28-Jul-2018
https://dl.acm.org/doi/10.1007/s10462-018-9646-y
Sylvester JReggia J(2016)Engineering neural systems for high-level problem solvingNeural Networks10.1016/j.neunet.2016.03.00679:C(37-52)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.neunet.2016.03.006

2009 Special Issue: A motivationally-based simulation of performance degradation under pressure
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
2. Human-centered computing

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Information

Published In

cover image Neural Networks

Neural Networks Volume 22, Issue 5-6

July, 2009

373 pages

ISSN:0893-6080

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2009.

Publisher

Elsevier Science Ltd.

United Kingdom

Publication History

Published: 01 July 2009

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Cited By

Sun R(2020) Potential of full human–machine symbiosis through truly intelligent cognitive systemsAI & Society10.1007/s00146-017-0775-735:1(17-28)Online publication date: 1-Mar-2020
https://dl.acm.org/doi/10.1007/s00146-017-0775-7
Kotseruba ITsotsos J(2018)40 years of cognitive architectures: core cognitive abilities and practical applicationsArtificial Intelligence Review10.1007/s10462-018-9646-y53:1(17-94)Online publication date: 28-Jul-2018
https://dl.acm.org/doi/10.1007/s10462-018-9646-y
Sylvester JReggia J(2016)Engineering neural systems for high-level problem solvingNeural Networks10.1016/j.neunet.2016.03.00679:C(37-52)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1016/j.neunet.2016.03.006

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