Zipf's Law, unbounded complexity and open-ended evolution

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• dc.contributor.author Corominas Murtra, Bernat
• dc.contributor.author Seoane, Luís F., 1985-
• dc.contributor.author Solé Vicente, Ricard, 1962-
• dc.date.accessioned 2019-05-15T07:54:27Z
• dc.date.issued 2018
• dc.description.abstract A major problem for evolutionary theory is understanding the so-called open-ended nature of evolutionary change, from its definition to its origins. Open-ended evolution (OEE) refers to the unbounded increase in complexity that seems to characterize evolution on multiple scales. This property seems to be a characteristic feature of biological and technological evolution and is strongly tied to the generative potential associated with combinatorics, which allows the system to grow and expand their available state spaces. Interestingly, many complex systems presumably displaying OEE, from language to proteins, share a common statistical property: the presence of Zipf's Law. Given an inventory of basic items (such as words or protein domains) required to build more complex structures (sentences or proteins) Zipf's Law tells us that most of these elements are rare whereas a few of them are extremely common. Using algorithmic information theory, in this paper we provide a fundamental definition for open-endedness, which can be understood as postulates. Its statistical counterpart, based on standard Shannon information theory, has the structure of a variational problem which is shown to lead to Zipf's Law as the expected consequence of an evolutionary process displaying OEE. We further explore the problem of information conservation through an OEE process and we conclude that statistical information (standard Shannon information) is not conserved, resulting in the paradoxical situation in which the increase of information content has the effect of erasing itself. We prove that this paradox is solved if we consider non-statistical forms of information. This last result implies that standard information theory may not be a suitable theoretical framework to explore the persistence and increase of the information content in OEE systems.
• dc.description.sponsorship We thank Jordi Piñero, Sergi Valverde, Jordi Fortuny, Kepa Ruiz-Mirazo and Carlos Rodríguez-Caso and the members of the Complex Systems Lab for useful discussions. BC-M wants to thank Stefan Thurner, Rudolf Hanel, Peter Klimek, Vittorio Loretto and Vito DP Servedio for useful comments on previous versions of the manuscript. This work has been supported by the Botín Foundation, by Banco Santander through its Santander Universities Global Division, a MINECO FIS2015-67616 fellowship, the Secretaria d'Universitats i Recerca del Departament d'Economia i Coneixement de la Generalitat de Catalunya (RS and LS) and the Santa Fe Institute (RS).
• dc.format.mimetype application/pdf
• dc.identifier.citation Corominas-Murtra B, Seoane LF, Solé R. Zipf's Law, unbounded complexity and open-ended evolution. J R Soc Interface. 2018;15(149):20180395. DOI: 10.1098/rsif.2018.0395
• dc.identifier.doi http://dx.doi.org/10.1098/rsif.2018.0395
• dc.identifier.issn 1742-5662
• dc.identifier.uri http://hdl.handle.net/10230/37231
• dc.language.iso eng
• dc.publisher Royal Society
• dc.relation.ispartof Journal of the Royal Society Interface. 2018;15(149):20180395
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/FIS2015-67616
• dc.rights © The Royal Society https://royalsocietypublishing.org/doi/10.1098/rsif.2018.0395
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Zipf’s Law
• dc.subject.keyword Algorithmic complexity
• dc.subject.keyword Complexity
• dc.subject.keyword Open-ended evolution
• dc.title Zipf's Law, unbounded complexity and open-ended evolution
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion