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Decision Making an Autonomous Robot Based on Matrix Solution of Systems of Logical Equations that Describe the Environment of Choice for Situational Control

  • Andrey E. GorodetskiyEmail author
  • Irina L. Tarasova
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 261)

Abstract

Problem statement: Progress in the development of modern industrial society is associated with the intellectualization of robotic systems, allowing to make informed decisions in group interaction in a dynamic environment of choice. Purpose of research: Providing autonomous robots with the ability to understand the language of sensations to enable decision-making regarding appropriate behavior in a group of autonomous robots under conditions of uncertainty. Results: A method of processing sensory information in the Central nervous system of the robot in order to obtain pragmatic information about the environment of choice is proposed. The methods of decision-making based on pragmatic information using matrix solutions of systems of logical equations in the description of optimization problems in the form of binary relations are described. Practical significance: The possibility of conscious decision-making by an Autonomous robot based on the analysis of the coordinator’s goal of functioning, as well as the behavior and intentions of neighboring robots, the selection of semantic data on the environment pragmatic data related to the purpose of functioning, and the choice of genetic algorithms that most optimally lead to the goal of functioning is shown.

Keywords

Situational control Groups of autonomous robots Environment of choice Central nervous system of the robot Quantization Fuzzification Images and images Sensory Syntactic Semantic and pragmatic data Deterministic Stochastic and not fully defined constraints Synthesis of the algorithm for finding the optimal solution. Progress in this area is associated with the development of intellectualization of robots Allowing to make informed decisions in group interaction in a dynamic environment of choice 

Notes

Acknowledgements

This work was financially supported by Russian Foundation for Basic Research Grants 18-01-00076 and 19-08-00079.

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute of Problems of Mechanical Engineering, Russian Academy of SciencesSt. PetersburgRussia

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