Closed Systems Paradigm for Intelligent Systems

Niloofar Shadab, Tyler Cody, Alejandro Salado, Peter Beling

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Intelligent systems ought to be distinguished as a special type of system. While some adopt this view informally, in practice, systems engineering methods for intelligent systems are still centered around traditional systems engineering notions of engineering by aggregation of components. We posit that this traditional approach follows from holding a notion of open systems as the fundamental precept, and that engineering intelligent systems, in contrast, requires an approach that holds notions of closed systems as fundamental precepts. We take a systems theoretic approach to defining closed system phenomena and their relation to engineering intelligence. We propose the concept of variety; particularly the law of requisite variety to enable closed view in engineering. We discuss how open and closed view approaches to engineering intelligent systems address variety differently, as well as the implications of this difference on engineering practice.

Original languageEnglish (US)
Title of host publicationSysCon 2022 - 16th Annual IEEE International Systems Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665439923
StatePublished - 2022
Externally publishedYes
Event16th Annual IEEE International Systems Conference, SysCon 2022 - Virtual, Online, Canada
Duration: Apr 25 2022May 23 2022

Publication series

NameSysCon 2022 - 16th Annual IEEE International Systems Conference, Proceedings


Conference16th Annual IEEE International Systems Conference, SysCon 2022
CityVirtual, Online


  • AI-enabled systems
  • V&V
  • artificial intelligence
  • closed systems
  • intelligent systems
  • requisite variety
  • systems engineering
  • systems theory

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications


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