Brain Principles Programming | Sciact

Brain Principles Programming Full article

Journal

Doklady Mathematics
ISSN: 1064-5624 , E-ISSN: 1531-8362

Output data

Year: 2022, Volume: 106, Number: SUPPL 1, Pages: S101–S112 Pages count : DOI: 10.1134/S1064562422060217

Tags

brain principles; categorization; category theory; formal concepts;

Authors

Vityaev E. ^1,2 , Kolonin A. ² , Kurpatov A. ³ , Molchanov A. ³

Affiliations

1	Sobolev Institute of Mathematics, Novosibirsk, Russia
2	Novosibirsk State University, Novosibirsk, Russia
3	Sberbank of Russia, Neuroscience Lab, Moscow, Russia

The monograph “Strong Artificial Intelligence. On the Approaches to Superintelligence,” referenced by this paper, provides a cross-disciplinary review of Artificial General Intelligence (AGI). As an anthropomorphic direction of research, it considers Brain Principles Programming (BPP)—the formalization of universal mechanisms (principles) of the brain’s work with information, which are implemented at all levels of the organization of nervous tissue. This monograph provides a formalization of these principles in terms of the category theory. However, this formalization is not enough to develop algorithms for working with information. In this paper, for the description and modeling of BPP, it is proposed to apply mathematical models and algorithms developed by us earlier that modeling cognitive functions, which are based on well-known physiological, psychological and other natural science theories. The paper uses mathematical models and algorithms of the following theories: P.K. Anokhin’s Theory of Functional Brain Systems, Eleonor Rosch’s prototypical categorization theory, Bob Rehder’s theory of causal models and “natural” classification. As a result, the formalization of the BPP is obtained and computer examples are given that demonstrate the algorithms operation.

Vityaev E. , Kolonin A. , Kurpatov A. , Molchanov A.
Brain Principles Programming
Doklady Mathematics. 2022. V.106. NSUPPL 1. P.S101–S112. DOI: 10.1134/S1064562422060217 WOS Scopus РИНЦ OpenAlex

Витяев Е.Е. , Колонин А.Г. , Курпатов А.А. , Молчанов А.А.
Формализация теории программирования принципов работы мозга с информацией
Доклады Академии наук. Серия: Математика, информатика, процессы управления. 2022. Т.508. С.111–127. DOI: 10.31857/S2686954322070219 РИНЦ OpenAlex

Submitted:	Nov 5, 2022
Accepted:	Nov 8, 2022
Published print:	Mar 21, 2023

Web of science:	WOS:000957131600020
Scopus:	2-s2.0-85150874338
Elibrary:	59608682
OpenAlex:	W4353002728

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