Methods for Measuring Viability and Evaluating Viability Indicators

Egbert, Matthew; Pérez-Mercader, Juan

dc.contributor.author	Egbert, Matthew	en
dc.contributor.author	Pérez-Mercader, Juan	en
dc.date.accessioned	2020-09-23T04:48:36Z	en
dc.date.available	2020-09-23T04:48:36Z	en
dc.date.issued	2018-05	en
dc.identifier.citation	Artificial Life 24(02):106-118 May 2018	en
dc.identifier.issn	1064-5462	en
dc.identifier.uri	http://hdl.handle.net/2292/53063	en
dc.relation.ispartofseries	Artificial Life	en
dc.rights	Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.	en
dc.rights.uri	https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm	en
dc.rights.uri	https://www.mitpressjournals.org/for_authors	en
dc.title	Methods for Measuring Viability and Evaluating Viability Indicators	en
dc.type	Journal Article	en
dc.identifier.doi	10.1162/artl_a_00257	en
pubs.issue	02	en
pubs.begin-page	106	en
pubs.volume	24	en
dc.rights.holder	Copyright: Massachusetts Institute of Technology	en
pubs.end-page	118	en
pubs.publication-status	Published	en
dc.rights.accessrights	http://purl.org/eprint/accessRights/OpenAccess	en
pubs.elements-id	809987	en
pubs.org-id	Science	en
pubs.org-id	School of Computer Science	en
dc.identifier.eissn	1530-9185	en