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Manipulating artificial ecosystems
chapter
posted on 2023-06-08, 18:23 authored by Alice EldridgeAlice Eldridge, Alan Dorin, Jon McCormackArtificial ecosystems extend traditional evolutionary approaches in generative art in several unique and attractive ways. However some of these traits also make them difficult to work with in a creative context. This paper addresses the issue by adapting predictive modelling tools from theoretical ecology. Inspired by the ecological concept of specialism, we construct a parameterised fitness curve that controls the relative efficacy of generalist and specialist strategies. We use this to influence the population’s trajectory through phenotype space. We also demonstrate the influence of environmental structure in biasing evolutionary outcomes. These ideas are applied in a creative ecosystem, ColourCycling which generates abstract images.
History
Publication status
- Published
File Version
- Accepted version
Publisher
SpringerExternal DOI
Volume
4974Page range
392-401Pages
704.0Book title
Applications of evolutionary computingPlace of publication
Berlin HeidelbergISBN
9783540787600Series
Lecture notes in computer scienceDepartment affiliated with
- Informatics Publications
Notes
Proceedings of the EvoMusArt Workshops Naples, Italy March 2008Full text available
- No
Peer reviewed?
- Yes