Manipulating artificial ecosystems

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Eldridge, Alice; Dorin, Alan; McCormack, Jon: Manipulating artificial ecosystems. In: EvoMUSART 2008, S. 392-401.



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.

Extended Abstract


booktitle={Applications of Evolutionary Computing},
series={Lecture Notes in Computer Science},
editor={Giacobini, Mario and Brabazon, Anthony and Cagnoni, Stefano and Di Caro, GianniA. and Drechsler, Rolf and Ekárt, Anikó and Esparcia-Alcázar, AnnaIsabel and Farooq, Muddassar and Fink, Andreas and McCormack, Jon and O’Neill, Michael and Romero, Juan and Rothlauf, Franz and Squillero, Giovanni and Uyar, A.Şima and Yang, Shengxiang},
title={Manipulating Artificial Ecosystems},
url={ },
publisher={Springer Berlin Heidelberg},
author={Eldridge, Alice and Dorin, Alan and McCormack, Jon},

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McCormack: Creative Ecosystems