Logical probabilistic biologically inspired cognitive architecture

Evgenii E. Vityaev, Alexander V. Demin, Yurii A. Kolonin

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

We consider a task-oriented approach to AGI, when any cognitive problem, perhaps superior to human ability, has sense given a criterion of its solution. In the frame of this approach, we consider the task of purposeful behavior in a complex probabilistic environment, where behavior is organized through self-learning. For that purpose, we suggest cognitive architecture that relies on the theory of functional systems. The architecture is based on the main notions of this theory: goal, result, anticipation of the result. The logical structure of this theory was analyzed and used for the control system of purposeful behavior development. This control system contains a hierarchy of functional systems that organizes purposeful behavior. The control system was used for modeling agents to solve the foraging task.

Язык оригиналаанглийский
Название основной публикацииArtificial General Intelligence - 13th International Conference, AGI 2020, Proceedings
РедакторыBen Goertzel, Alexey Potapov, Aleksandr I. Panov, Roman Yampolskiy
ИздательSpringer Gabler
Страницы337-346
Число страниц10
ISBN (печатное издание)9783030521516
DOI
СостояниеОпубликовано - 1 авг 2020
Событие13th International Conference on Artificial General Intelligence, AGI 2020 - St. Petersburg, Российская Федерация
Продолжительность: 16 сен 202019 сен 2020

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том12177 LNAI
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

Конференция

Конференция13th International Conference on Artificial General Intelligence, AGI 2020
СтранаРоссийская Федерация
ГородSt. Petersburg
Период16.09.202019.09.2020

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  • Цитировать

    Vityaev, E. E., Demin, A. V., & Kolonin, Y. A. (2020). Logical probabilistic biologically inspired cognitive architecture. В B. Goertzel, A. Potapov, A. I. Panov, & R. Yampolskiy (Ред.), Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings (стр. 337-346). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12177 LNAI). Springer Gabler. https://doi.org/10.1007/978-3-030-52152-3_36