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International Conference on Artificial General Intelligence

AGI 2020: Artificial General Intelligence pp 337–346Cite as

Logical Probabilistic Biologically Inspired Cognitive Architecture

Part of the Lecture Notes in Computer Science book series (LNAI,volume 12177)

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

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

The first author financially supported by the Russian Foundation for Basic Research # 18-29-13027.

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Author information

Authors and Affiliations

  1. Sobolev Institute of Mathematics SD RAS, Novosibirsk, Russia

    Evgenii E. Vityaev

  2. Mathematics and Mechanics Department, Novosibirsk State University, Novosibirsk, Russia

    Evgenii E. Vityaev & Yurii A. Kolonin

  3. A. P. Ershov Institute of Informatics System, Novosibirsk, Russia

    Alexander V. Demin

Authors
  1. Evgenii E. Vityaev
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  2. Alexander V. Demin
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  3. Yurii A. Kolonin
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Corresponding author

Correspondence to Evgenii E. Vityaev .

Editor information

Editors and Affiliations

  1. SingularityNET Foundation, Amsterdam, The Netherlands

    Ben Goertzel

  2. Moscow Institute of Physics and Technology, Dolgoprudny, Russia

    Aleksandr I. Panov

  3. SingularityNET Foundation, Amsterdam, The Netherlands

    Alexey Potapov

  4. University of Louisville, Louisville, KY, USA

    Prof. Dr. Roman Yampolskiy

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Vityaev, E.E., Demin, A.V., Kolonin, Y.A. (2020). Logical Probabilistic Biologically Inspired Cognitive Architecture. In: Goertzel, B., Panov, A., Potapov, A., Yampolskiy, R. (eds) Artificial General Intelligence. AGI 2020. Lecture Notes in Computer Science(), vol 12177. Springer, Cham. https://doi.org/10.1007/978-3-030-52152-3_36

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  • DOI: https://doi.org/10.1007/978-3-030-52152-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52151-6

  • Online ISBN: 978-3-030-52152-3

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