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dc.contributor.authorPolani, Daniel
dc.contributor.authorNehaniv, Chrystopher
dc.contributor.authorSalge, Christoph
dc.contributor.authorRobu, Andrei
dc.date.accessioned2021-05-27T12:00:01Z
dc.date.available2021-05-27T12:00:01Z
dc.date.issued2019-11-01
dc.identifier.citationPolani , D , Nehaniv , C , Salge , C & Robu , A 2019 , ' Measuring Time with Minimal Clocks ' , Artificial life , vol. 25 , no. 4 , pp. 383-409 . https://doi.org/10.1162/artl_a_00303
dc.identifier.issn1064-5462
dc.identifier.otherORCID: /0000-0002-3233-5847/work/94626022
dc.identifier.urihttp://hdl.handle.net/2299/24537
dc.description© 2019 Massachusetts Institute of Technology. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1162/artl_a_00303
dc.description.abstractBeing able to measure time, whether directly or indirectly, is a significant advantage for an organism. It allows for timely reaction to regular or predicted events, reducing the pressure for fast processing of sensory input. Thus, clocks are ubiquitous in biology. In the present article, we consider minimal abstract pure clocks in different configurations and investigate their characteristic dynamics. We are especially interested in optimally time-resolving clocks. Among these, we find fundamentally diametral clock characteristics, such as oscillatory behavior for purely local time measurement or decay-based clocks measuring time periods on a scale global to the problem. We include also sets of independent clocks (clock bags), sequential cascades of clocks, and composite clocks with controlled dependence. Clock cascades show a condensation effect, and the composite clock shows various regimes of markedly different dynamics.en
dc.format.extent27
dc.format.extent1001850
dc.language.isoeng
dc.relation.ispartofArtificial life
dc.subjectClocks
dc.subjectCycle
dc.subjectInformation theory
dc.subjectOscillation
dc.subjectTimekeeping
dc.subjectTransfer entropy
dc.subjectBiochemistry, Genetics and Molecular Biology(all)
dc.subjectArtificial Intelligence
dc.titleMeasuring Time with Minimal Clocksen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionAdaptive Systems
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionDepartment of Computer Science
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85075382820&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1162/artl_a_00303
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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