Cognitive Architecture for Decision-Making Based on Brain Principles Programming (in Russian)
February 18, 2023 Β· Declared Dead Β· π Procedia Computer Science Procedia Computer Science, Volume 213, 2022, Pages 180-189
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Authors
Anton Kolonin, Andrey Kurpatov, Artem Molchanov, Gennadiy Averyanov
arXiv ID
2302.09377
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC,
eess.SY
Citations
0
Venue
Procedia Computer Science Procedia Computer Science, Volume 213, 2022, Pages 180-189
Last Checked
4 months ago
Abstract
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.
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