Research Bank

Exploring architectural possibilities with flocking algorithms

Unitec Research Bank

Show simple item record

dc.contributor.author Popov, Nikolay
dc.date.accessioned 2011-12-19T02:56:05Z
dc.date.available 2011-12-19T02:56:05Z
dc.date.issued 2010
dc.identifier.isbn 978-88-96610-06-0
dc.identifier.uri http://hdl.handle.net/10652/1764
dc.description.abstract Complexity 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.language.iso en en_NZ
dc.publisher Domus Argenia en_NZ
dc.relation.uri http://www.generativeart.com/on/cic/GA2010/2010_30.pdf en_NZ
dc.rights It's possible to read, extract sentences and images but it's not possible to print the documents. en_NZ
dc.subject Agent based modelling en_NZ
dc.subject Flocks en_NZ
dc.subject Emergence en_NZ
dc.subject Complexity en_NZ
dc.subject Distributed representation en_NZ
dc.subject Architectural possibilities en_NZ
dc.title Exploring architectural possibilities with flocking algorithms en_NZ
dc.type Conference Contribution - Paper in Published Proceedings en_NZ
dc.rights.holder Domus Argenia en_NZ
dc.subject.marsden 120107 Landscape Architecture en_NZ
dc.identifier.bibliographicCitation Popov, 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 http://www.generativeart.com/ en_NZ
unitec.institution Unitec Institute of Technology en_NZ
unitec.publication.spage 385 en_NZ
unitec.publication.lpage 398 en_NZ
unitec.publication.title Proceedings of GA 2010 – XIII Generative Art Conference en_NZ
unitec.conference.title GA 2010 – XIII Generative Art Conference en_NZ
unitec.conference.org Generative Art Conferences en_NZ
unitec.conference.location Milan en_NZ
unitec.conference.sdate 2010-12-15
unitec.conference.edate 2010-12-17
unitec.peerreviewed yes en_NZ


This item appears in

Show simple item record