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DESIGNING EMERGENCE IN SYSTEMS OF SYSTEMS USING INFORMATION STREAMS

Published online by Cambridge University Press:  19 June 2023

Uriel Hochmann  and
Yoram Reich
Uriel Hochmann*
Affiliation:
Tel Aviv University
Yoram Reich
Affiliation:
Tel Aviv University
*
Hochmann, Uriel, Tel Aviv University, Israel, yurielnam@gmail.com

Abstract

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Systems complexity is increasing, in particular, when systems become systems of systems (SoS). SoS are composed of constituent systems (CS), have unique goals for the CS and the SoS as a whole, and present new SoS-level properties called emergent properties. Emergent properties are unique because they only appear at the system level. Current research has only revealed some tools focusing on simple emergence for engineers aiming to design emergence at the SoS level. However, forming design tools for the creation or modification of strong emergence will enable engineers to create systematic changes in the SoS. This article proposes a connection between emergence and information streams with the latter being a model of the transfer of information between the different CS in the SoS. A methodology for designing SoS information streams is demonstrated, with encouraging results, using a multi-agent simulation of the propagation of the COVID-19 virus through citizens. By testing several information stream configurations, an SoS with a decrease of 47% in sick agents was found. These results show that by changing the information stream better SoS performance is attained, supporting designing in a complex world.

Keywords

Systems Engineering (SE)SimulationDecision makingSystems of SystemsEmergent Properties
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 1357 - 1366
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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