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dc.contributor.authorHarder, Malte
dc.contributor.authorPolani, D.
dc.date.accessioned2015-06-03T07:51:09Z
dc.date.available2015-06-03T07:51:09Z
dc.date.issued2013-05-01
dc.identifier.citationHarder , M & Polani , D 2013 , ' Self-organizing particle systems ' Advances in Complex Systems , vol 16 , no. 2-3 , 1250089 . DOI: 10.1142/S0219525912500890
dc.identifier.issn0219-5259
dc.identifier.otherPURE: 8615055
dc.identifier.otherPURE UUID: 078869b7-a030-4293-9f32-ed43161b68a2
dc.identifier.otherScopus: 84880380187
dc.identifier.urihttp://hdl.handle.net/2299/15993
dc.descriptionThis is a pre-copyedited, author-produced PDF of an article accepted for publication in Advances in Complex Systems following peer review. The version of record, Malte Harder and Daniel Polani, ‘Self-organizing particle systems’, Advs. Complex Syst. 16, 1250089, published October 22, 2012, is available online via doi: https://doi.org/10.1142/S0219525912500890 Published by World Scientific Publishing.
dc.description.abstractThe self-organization of cells into a living organism is a very intricate process. Under the surface of orchestrating regulatory networks there are physical processes which make the information processing possible, that is required to organize such a multitude of individual entities. We use a quantitative information theoretic approach to assess self-organization of a collective system. In particular, we consider an interacting particle system, that roughly mimics biological cells by exhibiting differential adhesion behavior. Employing techniques related to shape analysis, we show that these systems in most cases exhibit self-organization. Moreover, we consider spatial constraints of interactions, and additionaly show that particle systems can self-organize without the emergence of pattern-like structures. However, we will see that regular pattern-like structures help to overcome limitations of self-organization that are imposed by the spatial structure of interactions.en
dc.format.extent24
dc.language.isoeng
dc.relation.ispartofAdvances in Complex Systems
dc.rights/dk/atira/pure/core/openaccesspermission/embargoed
dc.subjectinformation theory
dc.subjectmorphogenesis
dc.subjectSelf-organization
dc.subjectControl and Systems Engineering
dc.subjectGeneral
dc.titleSelf-organizing particle systemsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
dc.contributor.institutionAdaptive Systems
dc.description.statusPeer reviewed
dc.relation.schoolSchool of Computer Science
dcterms.dateAccepted2012-09-06
rioxxterms.versionofrecordhttps://doi.org/10.1142/S0219525912500890
rioxxterms.licenseref.startdate2013-10-22+01:00
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue
herts.date.embargo2013-10-22+01:00
herts.rights.accesstypeclosedAccess


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