Multi-agent evolutionary systems for the generation of complex virtual worlds
| aut.relation.issue | 5 | en_NZ |
| aut.relation.startpage | e5 | |
| aut.relation.volume | 2 | en_NZ |
| aut.researcher | Connor, Andrew | |
| dc.contributor.author | Kruse, J | en_NZ |
| dc.contributor.author | Connor, AM | en_NZ |
| dc.date.accessioned | 2015-10-26T22:23:01Z | |
| dc.date.available | 2015-10-26T22:23:01Z | |
| dc.date.copyright | 2015-07-28 | en_NZ |
| dc.date.issued | 2015-07-28 | en_NZ |
| dc.description.abstract | Modern 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.identifier.citation | EAI Endorsed Transactions on Creative Technologies, vol.2(5), Paper e5 | en_NZ |
| dc.identifier.doi | 10.4108/eai.20-10-2015.150099 | en_NZ |
| dc.identifier.uri | https://hdl.handle.net/10292/9144 | |
| dc.publisher | European Alliance for Innovation (EAI) | |
| dc.relation.uri | http://dx.doi.org/10.4108/eai.20-10-2015.150099 | |
| dc.rights | Copyright © 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.rights.accessrights | OpenAccess | en_NZ |
| dc.subject | Evolutionary computation; Genetic algorithms; Autonomous agents; Multi-agent systems; Interactive design | |
| dc.title | Multi-agent evolutionary systems for the generation of complex virtual worlds | en_NZ |
| dc.type | Journal Article | |
| pubs.elements-id | 188331 | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies | |
| pubs.organisational-data | /AUT/Design & Creative Technologies/School of Arts & Design |