Cognitive Architecture for Decision-Making Based on Brain Principles Programming
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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| Published in | Procedia computer science Vol. 213; pp. 180 - 189 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1877-0509 1877-0509 |
| DOI | 10.1016/j.procs.2022.11.054 |
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| 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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| AbstractList | 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. |
| Author | Molchanov, Artem Kurpatov, Andrey Kolonin, Anton Averyanov, Gennadiy |
| Author_xml | – sequence: 1 givenname: Anton surname: Kolonin fullname: Kolonin, Anton email: akolonin@gmail.com organization: Novosibirsk State University, Pirogova 2, Novosibirsk, 630090, Russia – sequence: 2 givenname: Andrey surname: Kurpatov fullname: Kurpatov, Andrey organization: Sberbank of Russia, Neuroscience Lab, Vavilova 19, Moscow, 117312, Russia – sequence: 3 givenname: Artem surname: Molchanov fullname: Molchanov, Artem organization: Sberbank of Russia, Neuroscience Lab, Vavilova 19, Moscow, 117312, Russia – sequence: 4 givenname: Gennadiy surname: Averyanov fullname: Averyanov, Gennadiy organization: Sberbank of Russia, Neuroscience Lab, Vavilova 19, Moscow, 117312, Russia |
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| Keywords | brain principles programming probabilistic logic subject domain ontology cognitive architecture task-driven approach functional system theory formal concept analysis |
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| Title | Cognitive Architecture for Decision-Making Based on Brain Principles Programming |
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