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.
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References
Sommerer, C., Mignonneau, L.: ”A-Volve” an evolutionary artificial life environment. In: Proceedings of A-Life V, Nara, Japan, pp. 167–175 (1996)
di Scipio, A.: Sound is the interface: From interactive to ecosystemic signal processing. Organised Sound 8(3), 269–277 (2003)
Dorin, A.: The virtual ecosystem as generative electronic art. In: Raidl, G.R., Cagnoni, S., Branke, J., et al. (eds.) Proceedings of 2nd European Workshop on Evolutionary Music and Art, Applications of Evolutionary Computing: EvoWorkshops, pp. 467–476 (2004)
McCormack, J.: Artificial ecosystems for creative discovery. In: Thierens, D., et al. (eds.) Genetic and Evolutionary Computation Conference, pp. 301–307 (2007)
Prophet, J.: Technosphere: “Real” time “artificial” life. Leonardo: The Journal of the International Society for The Arts, Sciences and Technology 34(4), 309–312 (2001)
McCormack, J.: Eden: An evolutionary sonic ecosystem. In: Kelemen, J., SosĂk, P. (eds.) ECAL 2001. LNCS (LNAI), vol. 2159, pp. 133–142. Springer, Heidelberg (2001)
Dorin, A.: Artificial life, death and epidemics in evolutionary, generative electronic art. In: Rothlauf, et al. (eds.) Proceedings of 3rd European Workshop on Evolutionary Music and Art, Applications of Evolutionary Computing, pp. 448–457 (2005)
Lanchier, N., Neuhauser, C.: A spatially explicit model for competition among specialists and generalists in a heterogeneous environment. Annals of Applied Probability 16(3), 1385–1410 (2006)
Elton, C.S.: Animal ecology. In: Sidgwick and Jackson, London (1927)
Brown, J.S.: Habitat selection as an evolutionary game. Evolution 44(3), 732–746 (1990)
Rosenzweig, M.L.: Habitat selection as a source of biological diversity. Evolutionary Ecology 1, 315–330 (1987)
Wilson, D.S., Yoshimura, J.: On the coexistence of specialists and generalists. The American Naturalist 144(4), 692–707 (1994)
Levins, R.: Theory of fitness in a heterogeneous environment I. The fitness set and adaptive function. American Naturalist 96, 361–373 (1962)
Lawlor, L., Maynard Smith, J.: The coevolution and stability of competing species. Journal of the American Naturalist 110(79–99) (1976)
Wilson, D.S., Turello, M.: Stable underdominace and the evolutionary invasion of empty niches. American Naturalist 127, 835–850 (1986)
Neuhauser, C., Pacala, S.: An explicitly spatial version of the Lotka-Volterra model with interspecific competition. Annals of Applied Probability 9, 1226–1259 (1999)
Pepper, J.: An agent-based model of group selection. In: Group Selection Workshop, ALIFEVII Workshop Proceedings (2000)
Monmarchè, N., Mahnich, I., Slimane, M.: Artificial art made by artificial ants. In: The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music, pp. 227–247. Springer, Heidelberg, Berlin (2008)
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Eldridge, A., Dorin, A., McCormack, J. (2008). Manipulating Artificial Ecosystems. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2008. Lecture Notes in Computer Science, vol 4974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78761-7_42
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DOI: https://doi.org/10.1007/978-3-540-78761-7_42
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