Standard
Logical probabilistic biologically inspired cognitive architecture. / Vityaev, Evgenii E.; Demin, Alexander V.; Kolonin, Yurii A.
Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings. ed. / Ben Goertzel; Alexey Potapov; Aleksandr I. Panov; Roman Yampolskiy. Springer Gabler, 2020. p. 337-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12177 LNAI).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Vityaev, EE, Demin, AV & Kolonin, YA 2020,
Logical probabilistic biologically inspired cognitive architecture. in B Goertzel, A Potapov, AI Panov & R Yampolskiy (eds),
Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12177 LNAI, Springer Gabler, pp. 337-346, 13th International Conference on Artificial General Intelligence, AGI 2020, St. Petersburg, Russian Federation,
16.09.2020.
https://doi.org/10.1007/978-3-030-52152-3_36
APA
Vityaev, E. E., Demin, A. V., & Kolonin, Y. A. (2020).
Logical probabilistic biologically inspired cognitive architecture. In B. Goertzel, A. Potapov, A. I. Panov, & R. Yampolskiy (Eds.),
Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings (pp. 337-346). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12177 LNAI). Springer Gabler.
https://doi.org/10.1007/978-3-030-52152-3_36
Vancouver
Vityaev EE, Demin AV, Kolonin YA.
Logical probabilistic biologically inspired cognitive architecture. In Goertzel B, Potapov A, Panov AI, Yampolskiy R, editors, Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings. Springer Gabler. 2020. p. 337-346. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-52152-3_36
Author
Vityaev, Evgenii E. ; Demin, Alexander V. ; Kolonin, Yurii A. /
Logical probabilistic biologically inspired cognitive architecture. Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings. editor / Ben Goertzel ; Alexey Potapov ; Aleksandr I. Panov ; Roman Yampolskiy. Springer Gabler, 2020. pp. 337-346 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{304369d7e9d5485cbb117d41e78feeb4,
title = "Logical probabilistic biologically inspired cognitive architecture",
abstract = "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.",
keywords = "Adaptive control system, Architecture, Functional systems theory, Goal-directed behavior, Purposeful behavior",
author = "Vityaev, {Evgenii E.} and Demin, {Alexander V.} and Kolonin, {Yurii A.}",
year = "2020",
month = aug,
day = "1",
doi = "10.1007/978-3-030-52152-3_36",
language = "English",
isbn = "9783030521516",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Gabler",
pages = "337--346",
editor = "Ben Goertzel and Alexey Potapov and Panov, {Aleksandr I.} and Roman Yampolskiy",
booktitle = "Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings",
address = "Germany",
note = "13th International Conference on Artificial General Intelligence, AGI 2020 ; Conference date: 16-09-2020 Through 19-09-2020",
}
RIS
TY - GEN
T1 - Logical probabilistic biologically inspired cognitive architecture
AU - Vityaev, Evgenii E.
AU - Demin, Alexander V.
AU - Kolonin, Yurii A.
PY - 2020/8/1
Y1 - 2020/8/1
N2 - 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.
AB - 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.
KW - Adaptive control system
KW - Architecture
KW - Functional systems theory
KW - Goal-directed behavior
KW - Purposeful behavior
UR - http://www.scopus.com/inward/record.url?scp=85088517982&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-52152-3_36
DO - 10.1007/978-3-030-52152-3_36
M3 - Conference contribution
AN - SCOPUS:85088517982
SN - 9783030521516
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 337
EP - 346
BT - Artificial General Intelligence - 13th International Conference, AGI 2020, Proceedings
A2 - Goertzel, Ben
A2 - Potapov, Alexey
A2 - Panov, Aleksandr I.
A2 - Yampolskiy, Roman
PB - Springer Gabler
T2 - 13th International Conference on Artificial General Intelligence, AGI 2020
Y2 - 16 September 2020 through 19 September 2020
ER -
