Task approach: on the way to trusting artificial intelligence Научная публикация
| Конференция |
WORLD CONGRESS SYSTEMS THEORY, ALGEBRAIC BIOLOGY, ARTIFICIAL INTELLIGENCE:
Mathematical Foundations and Applications 26-30 июн. 2023 , Россия |
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| Сборник | ИЗБРАННЫЕ ТРУДЫ. Всемирный конгресс. Теория систем, алгебраическая биология, искусственный интеллект: математические основы и приложения (26–30 июня 2023 г., Москва). Сборник, Москва.2023. 731 c. ISBN 978-5-91291-065-4. |
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| Вых. Данные | Год: 2023, DOI: 10.18699/sblai2023-41 | ||||||||
| Ключевые слова | task approach, artificial intelligence | ||||||||
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Реферат:
In this paper, the authors present their original concept of explainable and
trustworthy artificial intelligence (AI), which is based on a task approach to artificial intelligence.
The purpose of this work is to show that the task approach to AI generalizes and develops such
well-known approaches as the agent-based approach to AI and artificial general intelligence (AGI).
In addition, unlike AGI, it is anthropomorphic, since, it formalizes the physiological Theory of
Functional Systems (FTS) of brain function [15-20], which describes purposeful human activity.
For the purpose of effective practical implementation of the task approach, the work presents
variants of executable task specification languages that allow, based on the explanatory and
interpretable specification of tasks, to generate their executable code leading to solutions.
Specifications of tasks related to a certain subject area, for which a corresponding query to the
subject area is generated, the search for an answer to the query and obtaining a solution (answer to
the query) is carried out within the framework of the semantic modeling developed and presented in
the work.
Using various specification languages, several platforms for solving applied problems have
been developed and presented, which, together with examples of solved problems, are presented in
the conclusion of the work.
Библиографическая ссылка:
Vityaev E.E.
, Goncharov S.S.
, Gumirov V.S.
, Mantsivoda A.V.
, Nechesov A.V.
, Sviridenko D.I.
Task approach: on the way to trusting artificial intelligence
В сборнике ИЗБРАННЫЕ ТРУДЫ. Всемирный конгресс. Теория систем, алгебраическая биология, искусственный интеллект: математические основы и приложения (26–30 июня 2023 г., Москва).. 2023. – ISBN 978-5-91291-065-4. DOI: 10.18699/sblai2023-41 OpenAlex
Task approach: on the way to trusting artificial intelligence
В сборнике ИЗБРАННЫЕ ТРУДЫ. Всемирный конгресс. Теория систем, алгебраическая биология, искусственный интеллект: математические основы и приложения (26–30 июня 2023 г., Москва).. 2023. – ISBN 978-5-91291-065-4. DOI: 10.18699/sblai2023-41 OpenAlex
Даты:
| Опубликована online: | 1 нояб. 2023 г. |
Идентификаторы БД:
| OpenAlex: | W4389684239 |
Цитирование в БД:
Пока нет цитирований