Volume 13, Issue 4 (Winter 2012)                   Advances in Cognitive Sciences 2012, 13(4): 71-79 | Back to browse issues page

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Zojaji S, Kangavari M R, Hatami J. Extending a Computational Cognitive Architecture for Simulating the Effect of Trait Anxiety on Working Memory. Advances in Cognitive Sciences 2012; 13 (4) :71-79
URL: http://icssjournal.ir/article-1-412-en.html
1- of computer engineering / artificial intelligence, Iran University of Science and Technology, Tehran, Iran.
2- Assistant Professor, Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran.
3- Assistant Professor, Department of Education and Psychology, University of Tehran, Tehran, Iran.
Abstract:   (2754 Views)
Objective: A computational cognitive architecture for simulating the effect of trait anxiety on working memory.
Method: The research used Big Five theory of personality as its psychological basis. It simulated the effect of trait anxiety on working memory. The study proposes a model of personality based on fuzzy theory and the effect of trait anxiety on retrieval threshold is modeled based on up-to-date psychological references and comments of experts. The extended personality model is embedded in ACT-R cognitive architecture to make it capable of making decisions and processing information based on personality factor.
Results: The model is able of simulating human behavior at an acceptable level with respect to being compared with experimental data and psychological papers.
Conclusion: Anxiety is one of the most important personality traits that affect human behavior, specially working memory. Accordingly, embedding this factor in computational cognitive models can improve their precision.
Full-Text [PDF 470 kb]   (1317 Downloads)    
Type of Study: Research | Subject: Special
Received: 2011/08/23 | Accepted: 2011/10/23 | Published: 2011/12/22

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