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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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Correspondence to Evgenii E. Vityaev .

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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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