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Manipulating artificial ecosystems

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posted on 2023-06-08, 18:23 authored by Alice EldridgeAlice Eldridge, Alan Dorin, Jon McCormack
Artificial 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

Springer

Volume

4974

Page range

392-401

Pages

704.0

Book title

Applications of evolutionary computing

Place of publication

Berlin Heidelberg

ISBN

9783540787600

Series

Lecture notes in computer science

Department affiliated with

  • Informatics Publications

Notes

Proceedings of the EvoMusArt Workshops Naples, Italy March 2008

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2014-09-23

First Compliant Deposit (FCD) Date

2016-03-22

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