Creative Ecosystems in Computational Creativity 2007

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Reference

Jon McCormack: Creative Ecosystems, in A. Cardoso and G.A. Wiggins (eds), Proceedings of the 4th International Joint Workshop on Computational Creativity, 17-19 June 2007, Goldsmiths, University of London 2007, pp. 129-136.

DOI

Abstract

This paper addresses problems in computational creative discovery, either autonomous or in synergetic tandem with humans. A computer program generates output as a com- bination of base primitives whose interpretation must lie outside the program itself. Concepts of combinatoric and creative emergence are analysed in relation to creative out- puts being novel and appropriate combinations of base primitives, with the conclusion that the choice of the gen- erative process that builds and combines the primitives is of high importance. The generalised concept of an artifi- cial ecosystem, which adapts concepts and processes from a biological ecosystem at a metaphoric level, is an appro- priate generative system for creative discovery. The fun- damental properties of artificial ecosystems are discussed and examples given in two different creative problem do- mains. Systems are implemented as pure simulation, and where the ecosystem concept is expanded to include real environments and people as ecosystem components, offer an alternative to the ‘software tool’ approach of conven- tional creative software.

Extended Abstract

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