Editorial: Understanding and engineering cyber-physical collectives

Publication DOI: https://doi.org/10.3389/frobt.2024.1407421
Divisions: College of Engineering & Physical Sciences
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied AI & Robotics
Aston University (General)
Additional Information: Copyright © 2024 Casadei, Esterle, Gamble, Harvey and Wanner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Uncontrolled Keywords: collective intelligence,complex adaptive systems,cyber-physical collectives,internet of things,large-scale cyber-physical systems,multi-agent systems,multi-robot systems,swarm intelligence,Artificial Intelligence,Computer Science Applications
Publication ISSN: 2296-9144
Last Modified: 25 Nov 2024 08:54
Date Deposited: 29 May 2024 17:51
Full Text Link:
Related URLs: https://www.fro ... 24.1407421/full (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Editorial
Published Date: 2024-05-06
Accepted Date: 2024-04-15
Authors: Casadei, Roberto
Esterle, Lukas (ORCID Profile 0000-0002-0248-1552)
Gamble, Rose
Harvey, Paul
Wanner, Elizabeth F. (ORCID Profile 0000-0001-6450-3043)

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