Abstract
The paper presents an introduction to simulation models for evolutionary systems from three different points of view. Macro evolution is discussed in view of catastrophic events, like e.g. extinction events – and it is shown that these may occur at random, without external cause. Micro evolution is demonstrated looking at an actual physical problem. It turns out that there is an important distinction between natural evolution and the usage of evolutionary models for optimization purpose. In the third section we consider bottom-up evolution, by discussing a recent model for the generation of simplified discrete models for large arrays of regulatory circuits – to the end of creating artificial life. The author takes the liberty to mention links to economical systems whenever possible.
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References
R. Axelrod. An evolutionary approach to norms. American Political Science Review, 80:1095-1111,1986.
R. Axelrod. The Complexity of Cooperation. Princeton University Press, Princeton, NJ, 1997.
J. M. Baker. Adaptive speciation: The role of natural selection in mechanisms of geographic and non-geographic speciation. Studies in History and Philosophy of Biological and Biomedical Sciences, 36:303-326, 2005.
R. K. Bambach, A. H. Knoll, and S. C. Wang. Origination, extinction, and mass depletions of marine diversity. Paleobiology, 30(4):522-542, 2004.
G. D. Doolen, U. Frisch, and S. Wolfram, editors. Lattice Gas Methods for Partial Differential Equations. Addison-Wesley, Reading, MA, 1991.
B. Eichengreen and H. James. Gold Standard and the Great Depression, 1919-39. Oxford University Press, Oxford, 1996.
N. Eldredge and S. J. Gould. Punctuated equilibria: an alternative to phyletic gradualism. In T.J.M. Schopf, editor, Models in paleobiology, pages 82-115. Freeman, Cooper, San Francisco, 1972.
G. B. Ermentrout and L. Edelstein-Keshet. Cellular automata approach to biological modeling. Journal of Theoretical Biology, 160:97-133, 1993.
J. K. Galbraith. The Great Crash: 1929. Houghton Mifflin, Boston, 1997.
S. J. Gould. The structure of evolutionary theory. Belknap Press of Harvard University Press, Cambridge, 2002.
I. Hand and P. A. Henning. Gl ücksspielen an der B örse. eine verhaltenspsychologischmathematische Analyse. Sucht, 50(3):172-186, 2004.
P. A. Henning. Zum Informationsbegriff der Physik. Informatik Spektrum, 27(2):202-207, 2004.
A. A. Julius, A. Halasz, V. Kumar, and G. J. Pappas. Finite state abstraction of a stochastic model of the lactose regulation system of escherichia coli. In Proceedings 45th IEEE Conference on Decision and Control, 2006.
R. Laubenbacher and B. Stigler. A computational algebra approach to the reverse engineering of gene regulatory networks. Journal of Theoretical Biology, 229:523-537, 2004.
R. A. Muller and R. A. Rohde. Cycles in fossil diversity. Nature, 434:208-210, 2005.
J. R. Nash. Simulated evolution. an open source project. Cited April 2008, 2007. URL http://www.simulatedevolution.com.
I. Rechenberg. Evolution strategy to find an optimal lens shape. Cited April 2008, 2007. URL http://lautaro.fb10.tu-berlin.de/user/michael/english/lens/lens.html.
W. R. Rice and E. E. Hostert. Laboratory experiments on speciation: What have we learned in forty years? Evolution, 47:1637-1653, 1993.
K. Schredelseker. On the value of information in financial decisions - a simulation approach. University of Innsbruck.
R. Sol é and S. Manrubia. Extinction and self-oranized criticality in a model of large-scale evolution. Physical Review, B54(8):R42-R45, 1996.
N. Yildrim and M. C. Mackey. Feedback regulation in the lactose operon: A mathematical modeling study and comparison with experimental data. Biophysical Journal, 84:2841-2851, 2003.
H. Zhu, P. Pang, Y. Sun, and B. Dhar. Asynchronous adaptive time step in quantitative cellular automata modeling. BMC Bioinformatics, 5:85, 2004.
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Henning, P.A. (2008). Computational Evolution. In: Schredelseker, K., Hauser, F. (eds) Complexity and Artificial Markets. Lecture Notes in Economics and Mathematical Systems, vol 614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70556-7_14
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DOI: https://doi.org/10.1007/978-3-540-70556-7_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70553-6
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