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Computational analysis of dynamics in an agent-based model of cognitive load and reading performance


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
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: http://repo.uum.edu.my/id/eprint/27048

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