Ghanimi, Hayder M. A. and Ab. Aziz, Azizi (2018) Computational analysis of dynamics in an agent-based model of cognitive load and reading performance. In: Recent Trends in Data Science and Soft Computing. Springer, Cham, pp. 207-220. ISBN 978-3-319-99006-4
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Abstract
To avoid the development of cognitive load during task-specific actions, technologies like companion robots or intelligent systems may benefit from being aware of the dynamics of related mental performance constructs. As a first step toward the development of such systems, this paper uses an agent-based approach to formalize and simulate cognitive load processes within reading activities, which may involve specific assigned task. The obtained agent-based model is analysed both by mathematical analysis and automated trace evaluation. Based on this description, the proposed agent-based model has exhibited realistic behaviours patterns that adhere to the psychological and cognitive literature. Moreover, it is shown how the agent-based model can be integrated into intelligent systems that monitor and predict cognitive load over time and propose intelligent support actions based on that.
Item Type: | Book Section |
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Uncontrolled Keywords: | Agent-based model Temporal Trace Language Cognitive load Intelligent systems Verification analysis |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Divisions: | School of Computing |
Depositing User: | Mrs. Norazmilah Yaakub |
Date Deposited: | 02 Jun 2020 00:50 |
Last Modified: | 02 Jun 2020 00:50 |
URI: | https://repo.uum.edu.my/id/eprint/27048 |
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