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Erschienen in:
Cued Recall with Gaze Guiding—Reduction of Human Errors with a Gaze-Guiding Tool Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

On the Modelling an Artificial Cognitive System Based on the Human-Brain Architecture

verfasst von : Olga Chernavskaya, Dmitry Chernavskii, Yaroslav Rozhylo

Erschienen in: Advances in Neuroergonomics and Cognitive Engineering

Verlag: Springer International Publishing

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Abstract

The approach to modeling a cognitive system based on the human-brain architecture, called the Natural-Constructive Approach is presented. The key point of this approach is the following: an artificial cognitive system, being a complex multi-level combination of various-type neural processors, should be divided into two subsystems, by analogy with two cerebral hemispheres in a human brain. It is shown that one of them should necessarily contain a random element (noise) for generation of information (creativity); it is responsible for learning. The other one, being free of noise, is responsible for memorization and processing the well-known information. Emotions could be interpreted as the noise-amplitude variation and incorporated into the system by coupling the noise amplitude with the additional variable representing the aggregated value of neurotransmitter composition, which reflects the influence of subcortical brain structures. It is shown that the activity of both subsystems should be controlled by the noise-amplitude derivative.

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Vorheriges Kapitel Evaluation of User’s Affective Engagement While Interacting with Educational Technologies: A Pilot Study
Nächstes Kapitel Identity Verification Using a Kinematic Memory Detection Technique
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Metadaten
Titel
On the Modelling an Artificial Cognitive System Based on the Human-Brain Architecture
verfasst von
Olga Chernavskaya
Dmitry Chernavskii
Yaroslav Rozhylo
Copyright-Jahr
2017
Buch
Advances in Neuroergonomics and Cognitive Engineering

Print ISBN: 978-3-319-41690-8

Electronic ISBN: 978-3-319-41691-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-41691-5_10