Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Artificial ecosystems for creative discovery
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Building virtual ecosystems from artificial chemistry
ECAL'07 Proceedings of the 9th European conference on Advances in artificial life
Manipulating artificial ecosystems
Evo'08 Proceedings of the 2008 conference on Applications of evolutionary computing
Artificial life, death and epidemics in evolutionary, generative electronic art
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
An executable graph representation for evolutionary generative music
Proceedings of the 13th annual conference on Genetic and evolutionary computation
AI methods in algorithmic composition: a comprehensive survey
Journal of Artificial Intelligence Research
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This paper extends previous work in evolutionary ecosystemic approaches to generative art. Filterscape , adopts the implicit fitness specification that is fundamental to this approach and explores the use of resource recycling as a means of generating coherent sonic diversity in a generative sound work. Filterscape agents consume and deposit energy that is manifest in the simulation as sound. Resource recycling is shown to support cooperative as well as competitive survival strategies. In the context of our simulation, these strategies are recognised by their characteristic audible signatures. The model provides a novel means to generate sonic diversity through de-centralised agent interactions.