Abstract
It has been explored the conception of implementation the system of the most important systemic psychological function of the Computational Brain (CB)—the System of Computational Situational Reasonable Cognition and Understanding of the reality Under Uncertainty with applying the Fuzzy Logic, Fuzzy Control, Computational Linguistics, Cognitive Psychology, Data Science, Computer Science at whole, oriented on introduction in the Artificial Super Intelligence Self-X system as one of the main components. Computational psychology is investigated and implemented on basis of the following CB’s computational systemic mental situational functional processes of self-perception, self-inference, self-decision making, self-control, self-developing, intuition, self-awareness, self-consciousness, and self-understanding of reality. These processes are implemented on basis of the self-developing memory and modules, that use the self-computing computational models, computational mathematical modeling psychological situations under their time changes. The computed and identified psychological categories, properties, features, and essences of objects of reality are correlated with the corresponding subject area and are used by the mentioned processes for the intellectual analysis and modeling of the systemic situational reasonable cognition.
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Khayut, B., Fabri, L., Avikhana, M. (2022). A Computational Intelligent Cognition System Under Uncertainty. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_14
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DOI: https://doi.org/10.1007/978-981-16-2377-6_14
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