Show simple record

dc.contributor.authorPopov, Nikolay
dc.description.abstractComplexity theory offers a new way of understanding spatial patterns as self-organising morphologies. This provides a promising paradigm for exploring spatial organizations as the emergent outcome of dynamic relations between simple elements bounded together by multiple feedback loops. Self-organising spatial morphologies can be defined as a part of a process, usually a simple one, and modelled employing iterative algorithms. This paper reports on how various versions of the canonical flocking [1] algorithm can be utilized to interactively evolve emergent spatial patterns. The reason for selecting flocks as a study area is the fascinating asymmetry between the simplicity of the rules and the spatial complexity of the outcomes, when observed from a synoptic viewpoint. The flocks are modelled as Agent Based Systems using Netlogo [2] language. Together with traditional behaviours (separate, align, and cohere) the models employ up to five additional rules and a variety of parameters. The focus of the models range from obstacle avoidance, to learning and evolutionary flocking. The aim of the research is to investigate how complex architectural possibilities can be generated bottom-up, using distributed representation. Theoretically the research is related to the work of Paul Coates [3], Sebastian von Mammen, Aaron Westre, James Macgill, and many others.en_NZ
dc.publisherDomus Argeniaen_NZ
dc.rightsIt's possible to read, extract sentences and images but it's not possible to print the documents.en_NZ
dc.subjectagent based modellingen_NZ
dc.subjectdistributed representationen_NZ
dc.subjectarchitectural possibilitiesen_NZ
dc.titleExploring architectural possibilities with flocking algorithmsen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.rights.holderDomus Argeniaen_NZ
dc.subject.marsden120107 Landscape Architectureen_NZ
dc.identifier.bibliographicCitationPopov, N. (2010). Exploring architectural possibilities with flocking algorithms. In C. Soddu (Ed.) Proceedings of GA 2010 – XIII Generative Art Conference. Milan: Domus Argenia. Retrieved from
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.publication.titleProceedings of GA 2010 – XIII Generative Art Conferenceen_NZ
unitec.conference.titleGA 2010 – XIII Generative Art Conferenceen_NZ
unitec.conference.orgGenerative Art Conferencesen_NZ
unitec.institution.studyareaLandscape Architecture

Files in this item


This item appears in

Show simple record

© Unitec Institute of Technology, Private Bag 92025, Victoria Street West, Auckland 1142