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Self-organizing systems in the construction industry

Citation Link: https://doi.org/10.15480/882.8875
Publikationstyp
Review Article
Date Issued
2023-11
Sprache
English
Author(s)
Lohmann, Jessica  orcid-logo
Baustoffe, Bauphysik und Bauchemie B-3  
Kölzer, Thomas  orcid-logo
Digitales und autonomes Bauen B-1  
Schaan, Gunnar  
Betriebseinheit Elektronenmikroskopie M-26  
Schmidt-Döhl, Frank  orcid-logo
Baustoffe, Bauphysik und Bauchemie B-3  
TORE-DOI
10.15480/882.8875
TORE-URI
https://hdl.handle.net/11420/44330
Journal
Engineering Reports  
Volume
5
Issue
11
Start Page
1
End Page
16
Article Number
e12692
Citation
Engineering Reports 5 (11): e12692 (2023-11)
Publisher DOI
10.1002/eng2.12692
Scopus ID
2-s2.0-85159900090
Publisher
John Wiley and Sons Inc
Self-organization is found in numerous natural and artificial systems. For the construction industry, self-organizing processes are not only applicable in managing or organizing tasks, they also provide insight into materials or can be implemented into operations on building sites. In this paper, the terms feedback, agents, emergence and self-organization are described to provide an insight into the complex processes relevant to a lot of fields in the construction industry. For this, the principles of adaptive processes are transferred to artificial systems. Besides self-organization in building materials, an outlook is given to describe construction sites as cyber-physical systems. Inside such systems, agents learn to organize work tasks more efficiently, particularly with the help of reinforcement learning. In this regard, a transfer of natural self-organization—which also exist in materials—to building processes is made. A combination of natural and artificial systems is presented to promote self-organization for various fields of application in the construction industry, especially for building sites.
Subjects
artificial intelligence
building materials
complex adaptive systems
construction industry
cyber physical systems
reinforcement learning
self-organization
DDC Class
620: Engineering
004: Computer Sciences
Funding(s)
Open-Access-Publikationskosten / 2022-2024 / Technische Universität Hamburg (TUHH)  
Publication version
publishedVersion
Lizenz
https://creativecommons.org/licenses/by/4.0/
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