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On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes

On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes

ISBN13: 9781605661704|ISBN10: 1605661708|ISBN13 Softcover: 9781616925642|EISBN13: 9781605661711
DOI: 10.4018/978-1-60566-170-4.ch004
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MLA

Wang, Yingxu. "On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes." Novel Approaches in Cognitive Informatics and Natural Intelligence, edited by Yingxu Wang, IGI Global, 2009, pp. 65-77. https://doi.org/10.4018/978-1-60566-170-4.ch004

APA

Wang, Y. (2009). On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes. In Y. Wang (Ed.), Novel Approaches in Cognitive Informatics and Natural Intelligence (pp. 65-77). IGI Global. https://doi.org/10.4018/978-1-60566-170-4.ch004

Chicago

Wang, Yingxu. "On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes." In Novel Approaches in Cognitive Informatics and Natural Intelligence, edited by Yingxu Wang, 65-77. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-170-4.ch004

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Abstract

An interactive motivation-attitude theory is developed based on the Layered Reference Model of the Brain (LRMB) and the Object-Attribute-Relation (OAR) model. This chapter presents a rigorous model of human perceptual processes such as emotions, motivations, and attitudes. A set of mathematical models and formally described cognitive processes are developed. The interactions and relationships between motivation and attitude are formally described in real-time process algebra (RTPA). Applications of the mathematical models of motivations and attitudes in software engineering are demonstrated. This work is the detailed description of a part of the layered reference model of the brain (LRMB) that provides a comprehensive model for explaining the fundamental cognitive processes of the brain and their interactions. This work demonstrates that the complicated human emotional and perceptual phenomena can be rigorously modeled in mathematics and be formally treated and described.

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