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Final Accepted Manuscript
Affiliation
University of Arizona, Department of Systems and Industrial EngineeringIssue Date
2022-04-25Keywords
AI-enabled systemsartificial intelligence
closed systems
intelligent systems
requisite variety
systems engineering
systems theory
V&V
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IEEECitation
Shadab, N., Cody, T., Salado, A., & Beling, P. (2022). Closed Systems Paradigm for Intelligent Systems. SysCon 2022 - 16th Annual IEEE International Systems Conference, Proceedings.Rights
© 2022 IEEE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
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.Note
Immediate accessVersion
Final accepted manuscriptae974a485f413a2113503eed53cd6c53
10.1109/syscon53536.2022.9773829