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

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Metadata

Item Type: Article
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:
  • Published: 20 January 2021
  • Published (online): 20 January 2021
  • Accepted: 7 December 2020
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: 10.1371/journal.pcbi.1008617
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Open Archives Initiative ID (OAI ID):

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