Turing learning: a metric-free approach to inferring behavior and its application to swarms

Li, W., Gauci, M. and Groß, R. orcid.org/0000-0003-1826-1375 (2016) Turing learning: a metric-free approach to inferring behavior and its application to swarms. Swarm Intelligence, 10 (3). pp. 211-243. ISSN 1935-3812

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Copyright, Publisher and Additional Information: © The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Keywords: System identification; Turing test; Collective behavior; Swarm robotics; Coevolution; Machine learning
Dates:
  • Published: 30 August 2016
  • Published (online): 30 August 2016
  • Accepted: 29 July 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 21 Sep 2016 08:23
Last Modified: 25 Oct 2018 07:24
Published Version: http://dx.doi.org/10.1007/s11721-016-0126-1
Status: Published
Publisher: Springer Verlag
Refereed: Yes
Identification Number: https://doi.org/10.1007/s11721-016-0126-1

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