@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",
}