Closed Systems Paradigm for Intelligent Systems

被引:3
|
作者
Shadab, Niloofar [1 ]
Cody, Tyler [2 ]
Salado, Alejandro [3 ]
Beling, Peter [1 ,2 ]
机构
[1] Virginia Tech, Grad Dept Ind & Syst Engn, Blacksburg, VA 24061 USA
[2] Virginia Tech, Natl Secur Inst, Blacksburg, VA USA
[3] Univ Arizona, Dept Syst & Ind Engn, Tucson, AZ 85721 USA
关键词
intelligent systems; systems engineering; artificial intelligence; AI-enabled systems; systems theory; V&V; closed systems; requisite variety;
D O I
10.1109/SysCon53536.2022.9773829
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
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页数:8
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