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dc.contributor.authorNichele, Stefano
dc.contributor.authorFarstad, Sigve Sebastian
dc.contributor.authorTufte, Gunnar
dc.date.accessioned2018-01-25T09:33:57Z
dc.date.accessioned2018-04-16T08:39:11Z
dc.date.available2018-01-25T09:33:57Z
dc.date.available2018-04-16T08:39:11Z
dc.date.issued2017
dc.identifier.citationNichele S, Farstad SS, Tufte G. Universality of Evolved Cellular Automata in-Materio. International Journal of Unconventional Computing. 2017;13(1):1-34en
dc.identifier.issn1548-7199
dc.identifier.issn1548-7202
dc.identifier.urihttps://hdl.handle.net/10642/5889
dc.description.abstractEvolution-in-Materio (EIM) is a method of using artificial evolution to exploit physical properties of materials for computation. It has previously been successfully used to evolve a multitude of different computational devices implemented in physical materials. One of the biggest problems in exploiting materials is finding a good computational abstraction to carry computation on top of the underlying physical process. This paper presents elementary cellular automata (CA) as a possible abstraction and presents successfully evolved CA transition functions in single-walled carbon nanotube (SWCNT) and polymer composite materials. Such implementation allows reasoning about the computational capabilities of materials and draw analogies with cellular automata complexity and computation at the Edge of Chaos. This work is done within the European Project NASCENCE.en
dc.language.isoenen
dc.publisherOld City Publishingen
dc.relation.urihttp://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-13-number-1-2017/ijuc-13-1-p-1-34/
dc.subjectEvolution-in-materioen
dc.subjectCellular automataen
dc.subjectEdge of chaosen
dc.subjectSingle-walled carbon nanotubesen
dc.subjectComplexityen
dc.subjectComputational materialsen
dc.titleUniversality of Evolved Cellular Automata in-Materioen
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2018-01-25T09:33:57Z
dc.description.versionacceptedVersionen
dc.identifier.cristin1465228
dc.source.journalInternational Journal of Unconventional Computing


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