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Utilising agent based models for simulating landscape dynamics

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dc.contributor.author Popov, Nikolay
dc.date.accessioned 2011-12-19T01:38:44Z
dc.date.available 2011-12-19T01:38:44Z
dc.date.issued 2009
dc.identifier.isbn 978-1-921426-52-0
dc.identifier.uri http://hdl.handle.net/10652/1762
dc.description.abstract Cities and landscapes are now understood as systems that are open, chaotic, unpredictable, irreversible, and in constant flux - i.e. complex adaptive systems. This is why designers need to develop new modes of practice that can cope with open systems design. The term ‘model’, on the other hand, is now central to our thinking about the way we understand and design cities and landscapes. They are mediators between reality and theory and have a central role in bridging the gap between these two domains. This paper describes a new type of morphological modelling known as Agent Based Modelling (ABM) and investigates its applicability in landscape architectural design and planning. ABM assemble a wide range of theories and tools and offer an interesting view of urban and natural phenomena as a collective dynamics of interacting objects. They explore the connection between microlevel behaviour of individuals and the macro-level patterns that emerge from the interactions of many individuals. This paper examines, through a set of examples, the advantages, the drawbacks and the limitations of this type of modelling, with respect to their applications in landscape architecture. Finally, there will be some speculations about the future of these techniques in landscape design and planning. en_NZ
dc.language.iso en en_NZ
dc.publisher Cumulus en_NZ
dc.subject Agent based modelling en_NZ
dc.subject Complexity en_NZ
dc.subject Landscape en_NZ
dc.subject Systems en_NZ
dc.title Utilising agent based models for simulating landscape dynamics en_NZ
dc.type Conference Contribution - Paper in Published Proceedings en_NZ
dc.rights.holder Author en_NZ
dc.subject.marsden 120107 Landscape Architecture en_NZ
dc.identifier.bibliographicCitation Popov, N. (2009). Utilising agent based models for simulating landscape dynamics. In L. Fennessy, R. Kerr, G. Melles, C. Thong & E. Wright (Eds.). Proceedings of Cumulus 38ºSouth: Hemispheric shifts across learning, teaching and research. Melbourne: Cumulus. en_NZ
unitec.institution Unitec Institute of Technology en_NZ
unitec.publication.title Proceedings of Cumulus 38ºSouth: Hemispheric shifts across learning, teaching and research en_NZ
unitec.conference.title Cumulus 38ºSouth: Hemispheric shifts across learning, teaching and research en_NZ
unitec.conference.org Cumulus - International Association of Universities and Colleges of Art, Design and Media en_NZ
unitec.conference.location Melbourne en_NZ
unitec.conference.sdate 2009-11-12
unitec.conference.edate 2009-10-14
unitec.peerreviewed yes en_NZ


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