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Functional Networks for Modeling and Optimization Human-Machine Systems

  • 2021
  • OriginalPaper
  • Chapter
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Abstract

The chapter delves into the critical role of the human factor in automated systems, despite advancements in artificial intelligence. It introduces the concept of functional networks for modeling and optimizing human-machine systems, emphasizing the need for ergonomic measures to prevent catastrophic consequences. The methodology, founded by Anatoly Ilyich Gubinsky, offers a unique approach to describing and evaluating human-machine interactions. The chapter also discusses the development of automated modeling tools and the future prospects of functional network theory, providing a robust framework for integrating human factors into system design and optimization.

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Title
Functional Networks for Modeling and Optimization Human-Machine Systems
Authors
Evgeniy Lavrov
P. Paderno
O. Siryk
V. Kyzenko
S. Kosianchuk
N. Bondarenko
E. Burkov
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-66937-9_21
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