# Cognitive Architecture for Decision-Making Based on Brain Principles Programming (in Russian)

arXiv: https://arxiv.org/abs/2302.09377 · HTML: https://mlsanity.com/paper/2302.09377/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 22 references that are in the map.
- First posted on arXiv 18 Feb 2023.

## Builds on (most cited first, 2 of 2)

- [Brain Principles Programming](https://mlsanity.com/paper/2202.12710/) (2022)
- [Representing scenarios for process evolution management](https://mlsanity.com/paper/1807.02072/) (2018)

## Built on by (most cited first, 2 of 2)

- [Interpretable Recognition of Cognitive Distortions in Natural Language Texts](https://mlsanity.com/paper/2511.05969/) (2025)
- [Human-aligned Quantification of Numerical Data](https://mlsanity.com/paper/2511.15723/) (2025)

## Abstract (arXiv)

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. Building an architecture involves the implementation of a task-driven approach that allows defining the target functions of applied applications as tasks formulated in terms of the operating environment corresponding to the task, expressed in the applied ontology. We provide a basic ontology for a number of practical applications as well as for the subject domain ontologies based upon it, describe the proposed architecture, and give possible examples of the execution of these applications in this architecture.