Biological Computation of Physarum

dc.contributor.authorWerner, Liss C.
dc.date.accessioned2018-11-23T13:55:39Z
dc.date.available2018-11-23T13:55:39Z
dc.date.issued2018
dc.description.abstractPhysarum polycephalum, also called slime mold or myxamoeba, has started attracting the attention of those architects, urban designers, and scholars, who work in experimental trans- and flexi-disciplines between architecture, computer sciences, biology, art, cognitive sciences or soft matter; disciplines that build on cybernetic principles. Slime mold is regarded as a bio-computer with intelligence embedded in its physical mechanisms. In its plasmodium stage, the single cell organism shows geometric, morphological and cognitive principles potentially relevant for future complexity in human-machines-networks (HMN) in architecture and urban design. The parametric bio-blob presents itself as a geometrically regulated graph structure-morphologically adaptive, logistically smart. It indicates cognitive goal-driven navigation and the ability to externally memorize (like ants). Physarum communicates with its environment. The paper introduces physarum polycephalum in the context of 'digital architecture' as a biological computer for self-organizing 2D- to 4D-geometry generation.en
dc.identifier.isbn978-94-91207-16-7
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/8541
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-7675
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc720 Architekturen
dc.subject.ddc570 Biowissenschaften; Biologieen
dc.subject.ddc003 Systemeen
dc.subject.othergenerative geometryen
dc.subject.otherbio-computationen
dc.subject.otherVoronoien
dc.titleBiological Computation of Physarumen
dc.title.subtitlefrom DLA to spatial adaptive Voronoien
dc.typeConference Objecten
dc.type.versionpublishedVersionen
dcterms.bibliographicCitation.editorKępczyńska-Walczak, Anetta
dcterms.bibliographicCitation.editorBialkowski, Sebastian
dcterms.bibliographicCitation.number2en
dcterms.bibliographicCitation.originalpublishernameeCAADe; Lodz University of Technologyen
dcterms.bibliographicCitation.originalpublisherplaceŁódźen
dcterms.bibliographicCitation.pageend536en
dcterms.bibliographicCitation.pagestart531en
dcterms.bibliographicCitation.proceedingstitleComputing for a better tomorrow - Proceedings of the 36th eCAADe Conferenceen
tub.accessrights.dnbfreeen
tub.affiliationFak. 6 Planen Bauen Umwelt::Inst. Architektur::FG Städtebau und nachhaltige Stadtentwicklungde
tub.affiliation.facultyFak. 6 Planen Bauen Umweltde
tub.affiliation.groupFG Städtebau und nachhaltige Stadtentwicklungde
tub.affiliation.instituteInst. Architekturde
tub.publisher.universityorinstitutionTechnische Universität Berlinen

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