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

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 archite...

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Bibliographic Details
Published in:arXiv.org 2023-02
Main Authors: Kolonin, Anton, Kurpatov, Andrey, Molchanov, Artem, Averyanov, Gennadiy
Format: Article
Language:English
Subjects:
Brain
Decision making
Principles
Probabilistic inference
Subsystems
Systems theory
Online Access:Get full text
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Description
Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.2302.09377