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This article is cited in 1 scientific paper (total in 1 paper)
System analysis, management and information processing
Automatic reconstruction of the character
and temperament of users based on multi-agent
training of neurocognitive models of the conscious
and unconscious according to data on user
behavior in the internet
Z. V. Nagoeva, I. A. Pshenokovab, O. V. Nagoevab a Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences,
360002, Russia, Nalchik, 2 Balkarov street
b Institute of Computer Science and Problems of Regional Management –
branch of Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences,
360000, Russia, Nalchik, 37-a I. Armand street
Abstract:
The purpose of this study is to develop a system for teaching simulation models of users
to the properties of character and temperament based on data on their behavior in the Internet. To model
user behavior, the metaphor of designing an intelligent software agent is used; the agent is controlled on
the basis of a multi-agent neurocognitive architecture, which is well suited for teaching specialized patterns of behavior of specific users, information about which can be collected in the Internet.
As a result of the study, the basic principles of imitation modeling of functional systems of unconscious
and conscious cognitive processes were developed based on the invariant of a recursive multi-agent neurocognitive architecture. Algorithms for the simulation of functional systems of character and temperament based on
the invariant of a recursive multi-agent neurocognitive architecture have been substantiated.
The results obtained can be used to develop basic principles, models, methods and algorithms for
learning the invariant of a multi-agent neurocognitive architecture based on data on user behavior and
mentions about it in the Internet space.
Keywords:
artificial intelligence, behavior modeling, cognitive architectures, multi-agent systems, enveloping intelligence systems, predictive analytics.
Received: 10.12.2021 Accepted: 15.12.2021
Citation:
Z. V. Nagoev, I. A. Pshenokova, O. V. Nagoeva, “Automatic reconstruction of the character
and temperament of users based on multi-agent
training of neurocognitive models of the conscious
and unconscious according to data on user
behavior in the internet”, News of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences, 2021, no. 6, 66–77
Linking options:
https://www.mathnet.ru/eng/izkab412 https://www.mathnet.ru/eng/izkab/y2021/i6/p66
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Abstract page: | 66 | Full-text PDF : | 34 | References: | 14 |
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