no code implementations • 18 Feb 2023 • Anton Kolonin, Andrey Kurpatov, Artem Molchanov, Gennadiy Averyanov
We describe a cognitive architecture intended to solve a wide range of problems based on the five identified principles of brain activity, with their implementation in three subsystems: logical-probabilistic inference, probabilistic formal concepts, and functional systems theory.
no code implementations • 17 Apr 2022 • Anton Kolonin, Andrey Kurpatov, Artem Molchanov, Gennadiy Averyanov
We describe a cognitive architecture intended to solve a wide range of problems based on the five identified principles of brain activity, with their implementation in three subsystems: logical-probabilistic inference, probabilistic formal concepts, and functional systems theory.
no code implementations • 13 Feb 2022 • Evgenii Vityaev, Anton Kolonin, Andrey Kurpatov, Artem Molchanov
In this paper, for the description and modeling of Brain Principles Programming, it is proposed to apply mathematical models and algorithms developed by us earlier that model cognitive functions, which are based on well-known physiological, psychological and other natural science theories.