Aggregative cycles evolve as a solution to conflicts in social investment

Miele, L and De Monte, S (2021) Aggregative cycles evolve as a solution to conflicts in social investment. PLOS Computational Biology, 17 (1). e1008617. ISSN 1553-734X

Abstract

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Authors/Creators:
  • Miele, L
  • De Monte, S
Copyright, Publisher and Additional Information: © 2021 Miele, De Monte. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Dates:
  • Accepted: 7 December 2020
  • Published (online): 20 January 2021
  • Published: 20 January 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Applied Mathematics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 09 Nov 2021 15:01
Last Modified: 09 Nov 2021 15:01
Status: Published
Publisher: Public Library of Science (PLoS)
Identification Number: https://doi.org/10.1371/journal.pcbi.1008617
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