Titel: Swarm Intelligence and Cyber-Physical Systems: Concepts, Challenges and Future Trends

Swarm Intelligence (SI) is a popular multi-agent framework that has been originally inspired by swarm behaviors observed in natural systems, such as ant and bee colonies. In a system designed after swarm intelligence, each agent acts autonomously, reacts on dynamic inputs, and, implicitly or explicitly, works collaboratively with other swarm members without a central control. The system as a whole is expected to exhibit global patterns and behaviors. Although well-designed swarms can show advantages in adaptability, robustness, and scalability, it must be noted that SI system have not really found their way from lab demonstrations to real-world applications, so far. This is particularly true for embodied SI, where the agents are physical entities, such as in swarm robotics scenarios. In this paper, we start from these observations, outline different definitions and characterizations, and then discuss present challenges in the perspective of future use of swarm intelligence. These include application ideas, research topics, and new sources of inspiration from biology, physics, and human cognition. To motivate future applications of swarms, we make use of the notion of cyber-physical systems (CPS). CPSs are a way to encompass the large spectrum of technologies including robotics, internet of things (IoT), Systems on Chip (SoC), embedded systems, and so on. Thereby, we give concrete examples for visionary applications and their challenges representing the physical embodiment of swarm intelligence in autonomous driving and smart traffic, emergency response, environmental monitoring, electric energy grids, space missions, medical applications, and human networks. We do not aim to provide new solutions for the swarm intelligence or CPS community, but rather build a bridge between these two communities. This allows us to view the research problems of swarm intelligence from a broader perspective and motivate future research activities in modeling, design, validation/verification, and human-in-the-loop concepts.

Schlagworte: Swarm intelligence, Cyber-physical systems, Swarm robotics
Publikationstyp: Beitrag in Zeitschrift (Autorenschaft)
Art der Veröffentlichung Online Publikation
Erschienen in: Swarm and Evolutionary Computation
Swarm and Evolutionary Computation
zur Publikation
 ( Elsevier; P. Suganthan, S. Das )
Erscheinungsdatum: 08.2020
Titel der Serie: -
Bandnummer: 60
Heftnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 1 - 17


ISSN: 2210-6502
AC-Nummer: -
Open Access
  • Online verfügbar (nicht Open Access)


Organisation Adresse
Fakultät für Technische Wissenschaften
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee


  • 102009 - Computersimulation
  • 202022 - Informationstechnik
  • 202035 - Robotik
  • 202041 - Technische Informatik
  • Selbstorganisierende Systeme
  • Science Citation Index Expanded (SCI Expanded)
Informationen zum Zitationsindex: Master Journal List
Peer Reviewed
  • Ja
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
  • Smart Grids Group


Organisation Adresse
Lakeside Labs GmbH
Lakeside Science & Technology Park
9020 Klagenfurt
Österreich - Kärnten
Lakeside Science & Technology Park
AT - 9020  Klagenfurt
Carnegie Mellon University Qatar
QA  Doha
The University of Manchester
Oxford Road
M13 9 PL Manchester
Großbrit. u. Nordirland
Oxford Road
GB - M13 9 PL  Manchester
Karl-Franzens-Universität Graz
Universitätsplatz 3
8010 Graz
Österreich - Steiermark
Universitätsplatz 3
AT - 8010  Graz
Monash University
AU  Melbourne

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