Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Brain Principles Programming. / Vityaev, E.; Kolonin, A.; Kurpatov, A. и др.
в: Doklady Mathematics, Том 106, 2022, стр. S101-S112.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
}
TY - JOUR
T1 - Brain Principles Programming
AU - Vityaev, E.
AU - Kolonin, A.
AU - Kurpatov, A.
AU - Molchanov, A.
N1 - Публикация для корректировки.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - brain principles
KW - categorization
KW - category theory
KW - formal concepts
UR - https://www.mendeley.com/catalogue/dd3ebadc-b7c9-36d3-8af1-dfdcdc2015a2/
U2 - 10.1134/S1064562422060217
DO - 10.1134/S1064562422060217
M3 - Article
VL - 106
SP - S101-S112
JO - Doklady Mathematics
JF - Doklady Mathematics
SN - 1064-5624
ER -
ID: 55694678