Manipulating artificial ecosystems

Eldridge, Alice, Dorin, Alan and McCormack, Jon (2008) Manipulating artificial ecosystems. In: Applications of evolutionary computing. Lecture notes in computer science, 4974 . Springer, Berlin Heidelberg, pp. 392-401. ISBN 9783540787600

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Abstract

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.

Item Type: Book Section
Additional Information: Proceedings of the EvoMusArt Workshops Naples, Italy March 2008
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Q Science > QH Natural history > QH0301 Biology > QH0540 Ecology
Depositing User: Alice Eldridge
Date Deposited: 23 Sep 2014 14:28
Last Modified: 09 Sep 2015 10:08
URI: http://sro.sussex.ac.uk/id/eprint/50212

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