Power et al. Biology Direct (2016) 11:29 DOI 10.1186/s13062-016-0132-7
ERRATUM
Open Access
Erratum to: What can ecosystems learn? Expanding evolutionary ecology with learning theory Daniel A. Power1*, Richard A. Watson2, Eörs Szathmáry3, Rob Mills4, Simon T. Powers5, C. Patrick Doncaster6 and Błazej Czapp6 Erratum After publication of this article [1], it was noticed that equation 1 incorrectly contained an additional ‘+’ sign. The correct version of equation 1 is included in this erratum.
In addition, it was noticed the email address for the corresponding author, Daniel A. Power, is incorrect. This is correctly included in this erratum under the correspondence section. Author details 1 Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK. 2Institute for Life Sciences/Electronics and Computer Science, University of Southampton, Southampton, UK. 3The Parmenides Found, Center for the Conceptual Foundations of Science, Pullach, Germany. 4Department of Informatics, Faculty of Sciences, University of Lisbon, Lisbon, Portugal. 5Department of Ecology & Evolution, University of Lausanne, Lausanne, Switzerland. 6School of Biological Sciences, University of Southampton, Southampton, UK. Received: 10 June 2016 Accepted: 10 June 2016
References 1. Power, et al. What can ecosystems learn? Expanding evolutionary ecology with learning theory. Biology Direct. 2015; 10:69. doi: 10.1186/ s13062-015-0094-1.
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* Correspondence: [email protected] 1 Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK Full list of author information is available at the end of the article
• Maximum visibility for your research Submit your manuscript at www.biomedcentral.com/submit
© 2016 The Author(s). Open Access 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
ERRATUM
Open Access
Erratum to: What can ecosystems learn? Expanding evolutionary ecology with learning theory Daniel A. Power1*, Richard A. Watson2, Eörs Szathmáry3, Rob Mills4, Simon T. Powers5, C. Patrick Doncaster6 and Błazej Czapp6 Erratum After publication of this article [1], it was noticed that equation 1 incorrectly contained an additional ‘+’ sign. The correct version of equation 1 is included in this erratum.
In addition, it was noticed the email address for the corresponding author, Daniel A. Power, is incorrect. This is correctly included in this erratum under the correspondence section. Author details 1 Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK. 2Institute for Life Sciences/Electronics and Computer Science, University of Southampton, Southampton, UK. 3The Parmenides Found, Center for the Conceptual Foundations of Science, Pullach, Germany. 4Department of Informatics, Faculty of Sciences, University of Lisbon, Lisbon, Portugal. 5Department of Ecology & Evolution, University of Lausanne, Lausanne, Switzerland. 6School of Biological Sciences, University of Southampton, Southampton, UK. Received: 10 June 2016 Accepted: 10 June 2016
References 1. Power, et al. What can ecosystems learn? Expanding evolutionary ecology with learning theory. Biology Direct. 2015; 10:69. doi: 10.1186/ s13062-015-0094-1.
Submit your next manuscript to BioMed Central and we will help you at every step: • We accept pre-submission inquiries • Our selector tool helps you to find the most relevant journal • We provide round the clock customer support • Convenient online submission • Thorough peer review • Inclusion in PubMed and all major indexing services
* Correspondence: [email protected] 1 Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK Full list of author information is available at the end of the article
• Maximum visibility for your research Submit your manuscript at www.biomedcentral.com/submit
© 2016 The Author(s). Open Access 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
