Logical probabilistic biologically inspired cognitive architecture

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review


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.

Original languageEnglish
Title of host publicationArtificial General Intelligence - 13th International Conference, AGI 2020, Proceedings
EditorsBen Goertzel, Alexey Potapov, Aleksandr I. Panov, Roman Yampolskiy
PublisherSpringer Gabler
Number of pages10
ISBN (Print)9783030521516
Publication statusPublished - 1 Aug 2020
Event13th International Conference on Artificial General Intelligence, AGI 2020 - St. Petersburg, Russian Federation
Duration: 16 Sep 202019 Sep 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12177 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th International Conference on Artificial General Intelligence, AGI 2020
CountryRussian Federation
CitySt. Petersburg


  • Adaptive control system
  • Architecture
  • Functional systems theory
  • Goal-directed behavior
  • Purposeful behavior

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