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Information theory, predictability and the emergence of complex life

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dc.contributor.author Seoane, Luís F., 1985-
dc.contributor.author Solé Vicente, Ricard, 1962-
dc.date.accessioned 2018-05-04T07:42:53Z
dc.date.available 2018-05-04T07:42:53Z
dc.date.issued 2018
dc.identifier.citation Seoane LF, Solé RV. Information theory, predictability and the emergence of complex life. R. Soc. open sci. 2018 Feb; 5(2): 172221. DOI: 10.1098/rsos.172221
dc.identifier.issn 2054-5703
dc.identifier.uri http://hdl.handle.net/10230/34553
dc.description.abstract Despite the obvious advantage of simple life forms capable of fast replication, different levels of cognitive complexity have been achieved by living systems in terms of their potential to cope with environmental uncertainty. Against the inevitable cost associated with detecting environmental cues and responding to them in adaptive ways, we conjecture that the potential for predicting the environment can overcome the expenses associated with maintaining costly, complex structures. We present a minimal formal model grounded in information theory and selection, in which successive generations of agents are mapped into transmitters and receivers of a coded message. Our agents are guessing machines and their capacity to deal with environments of different complexity defines the conditions to sustain more complex agents.
dc.description.sponsorship This research was funded by the Botin Foundation, by Banco Santander through its Santander Universities Global Division, by the Santa Fe Institute, by the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement de la Generalitat de Catalunya and by the European Research Council through ERC grant no. ERC SYNCOM 294294.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Royal Society
dc.relation.ispartof R. Soc. open sci. 2018 Feb; 5(2): 172221
dc.rights © 2018 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricteduse, provided the original author and source are credited.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title Information theory, predictability and the emergence of complex life
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1098/rsos.172221
dc.subject.keyword Complexity
dc.subject.keyword Computation
dc.subject.keyword Emergence
dc.subject.keyword Evolution
dc.subject.keyword Predictability
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/294294
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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