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dc.contributor.authorKruse, Jen_NZ
dc.contributor.authorConnor, AMen_NZ
dc.date.accessioned2015-10-26T22:23:01Z
dc.date.available2015-10-26T22:23:01Z
dc.date.copyright2015-07-28en_NZ
dc.identifier.citationEAI Endorsed Transactions on Creative Technologies, vol.2(5), Paper e5en_NZ
dc.identifier.urihttp://hdl.handle.net/10292/9144
dc.description.abstractModern films, games and virtual reality applications are dependent on convincing computer graphics. Highly complex models are a requirement for the successful delivery of many scenes and environments. While workflows such as rendering, compositing and animation have been streamlined to accommodate increasing demands, modelling complex models is still a laborious task. This paper introduces the computational benefits of an Interactive Genetic Algorithm (IGA) to computer graphics modelling while compensating the effects of user fatigue, a common issue with Interactive Evolutionary Computation. An intelligent agent is used in conjunction with an IGA that offers the potential to reduce the effects of user fatigue by learning from the choices made by the human designer and directing the search accordingly. This workflow accelerates the layout and distribution of basic elements to form complex models. It captures the designer’s intent through interaction, and encourages playful discovery.en_NZ
dc.publisherEuropean Alliance for Innovation (EAI)
dc.relation.urihttp://dx.doi.org/10.4108/eai.20-10-2015.150099
dc.rightsCopyright © 2015 J. Kruse and A.M. Connor, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
dc.subjectEvolutionary computation; Genetic algorithms; Autonomous agents; Multi-agent systems; Interactive design
dc.titleMulti-agent evolutionary systems for the generation of complex virtual worldsen_NZ
dc.typeJournal Article
dc.rights.accessrightsOpenAccessen_NZ
dc.identifier.doi10.4108/eai.20-10-2015.150099en_NZ
aut.relation.issue5en_NZ
aut.relation.startpagee5
aut.relation.volume2en_NZ
pubs.elements-id188331


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