Abstract
This paper adopts an interdisciplinary view of the significant elements of ecosystems and the methods by which these might be simulated to explore theoretical issues of relevance to Artificial Life and Ecology. Artificial Life has largely been concerned with evolutionary ecosystems of agents in trivial environments. Ecology commonly produces models of specific habitats and organism populations unsuited to general exploration of theoretical issues. We propose that limitations of the simulations in these disciplines can be overcome by simulating ecosystems from the level of artificial chemistry. We demonstrate the approach’s feasibility by describing several virtual organisms represented at this level. The organisms automatically adopt trophic levels, generate energy from chemical bonds and transform material elements in the process. Virtual organisms may interact with one another and their abiotic environment using the same chemistry. Biosynthesis and decay may also be simulated through this mechanism.
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References
Ray, T.S.: An approach to the synthesis of life. In: Langton, C.G. (ed.) Artificial Life II, Santa Fe, New Mexico, pp. 371–408. Addison Wesley, Reading (1990)
Yaeger, L.: Computational Genetics, Physiology, Metabolism, Neural Systems, Learning, Vision and Behavior or Polyworld: Life in a New Context. In: Langton, C.G. (ed.) Artificial Life III, pp. 263–298. Addison-Wesley, Reading (1992)
Epstein, J.M., Axtell, R.: Growing Artificial Societies, Social Science from the Bottom Up. Brookings Institution Press, Washington (1996)
Dorin, A.: The Virtual Ecosystem as Generative Electronic Art. In: Raidl, G.R., Cagnoni, S., Branke, J., Corne, D.W., Drechsler, R., Jin, Y., Johnson, C.G., Machado, P., Marchiori, E., Rothlauf, F., Smith, G.D., Squillero, G. (eds.) EvoWorkshops 2004. LNCS, vol. 3005, pp. 467–476. Springer, Heidelberg (2004)
Grimm, V.: Ten years of individual-based modelling in ecology: what have we learned and what could we learn in the future? Ecological Modelling 115, 129–148 (1999)
Tansley, A.G.: The Use and Abuse of Vegetational Concepts and Terms. Ecology 16(3), 284–307 (1935)
Hutton, T.J.: Evolvable Self-Reproducing Cells in a Two-Dimensional Artificial Chemistry. Artificial Life 13(1), 11–30 (2007)
Dittrich, P., Ziegler, J., Banzhaf, W.: Artificial Chemistries - A Review. Artificial Life 7(3), 225–276 (2001)
McMullin, B., Varela, F.J.: Rediscovering Computational Autopoiesis. In: Fourth European Conference on Artificial Life, pp. 38–47. MIT Press, Cambridge (1997)
Beck, W.S., Liem, K.F., Simpson, G.G.: Life: An Introduction to Biology, 3rd edn. Harper Collins, New York (1991)
Brewster, J.J., Reynolds, R.G., Brockmeyer, M.A.: Not In My Backyard: A simulation of the effects of agent mobility on environmental poisoning. In: Proceedings of the 2002 Congress on Evolutionary Computing, Honolulu, Hawaii, pp. 849–854 (2002)
Woodberry, O., Korb, K.B., Nicholson, A.E.: A Simulation Study of the Evolution of Aging. Evolutionary Ecology Research (under submission, 2007)
Bedau, M.A., et al.: Open Problems in Artificial Life. Artificial Life 6(4), 363–376 (2000)
Dorin, A., Korb, K.B.: Building Virtual Ecosystems from Artificial Chemistry, Faculty of Information Technology, Monash University, tech. report 2007/212 (in preparation, 2007)
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Dorin, A., Korb, K.B. (2007). Building Virtual Ecosystems from Artificial Chemistry. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds) Advances in Artificial Life. ECAL 2007. Lecture Notes in Computer Science(), vol 4648. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74913-4_11
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DOI: https://doi.org/10.1007/978-3-540-74913-4_11
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