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Three illustrations of artificial life's working hypothesis

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Evolution and Biocomputation

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 899))

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Abstract

Artificial life uses computer models to study the essential nature of the characteristic processes of complex adaptive systems proceses such as self-organization, adaptation, and evolution. Work in the field is guided by the working hypothesis that simple computer models can capture the essential nature of these processes. This hypothesis is illustrated by recent results with a simple population of computational agents whose sensorimotor functionality undergo open-ended adaptive evolution. These might illuminate three aspects of complex adaptive systems in general: punctuated equilibrium dynamics of diversity, a transition separating genetic order and disorder, and a law of adaptive evolutionary activity.

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References

  1. M. A. Bedau, 1992, “Philosophical Aspects of Artificial Life,” in F. J. Varela and P. Bourgine, Towards a Practice of Autonomous Systems, Bradford/MIT Press, Cambridge, MA.

    Google Scholar 

  2. M. A. Bedau, 1994, “The Evolution of Sensorimotor Functionality”, in P. Gaussier and J.-D. Nicoud, eds., eds., From Perception to Action, IEEE Computer Society Press, Los Alamitos, CA.

    Google Scholar 

  3. M. A. Bedau and A. Bahm, 1993, “Order and Chaos in the Evolution of Diversity”, in Proceedings of the Second European Conference on Artificial Life, Brussels, Belgium.

    Google Scholar 

  4. M. A. Bedau and A. Bahm, 1994, “Bifurcation Structure in Diversity Dynamics”, in R. Brooks and P. Maes, eds., Artificial Life IV, Bradford/MIT Press, Cambridge, MA.

    Google Scholar 

  5. M. A. Bedau, and N. H. Packard, 1991, “Measurement of Evolutionary Activity, Teleology, and Life”, in C. G. Langton, C. E. Taylor, J. D. Farmer, and S. Ras-mussen, eds., Artificial Life II, SFI Studies in the Sciences of Complexity, Vol. X., Addison-Wesley, Redwood City, CA.

    Google Scholar 

  6. M. A. Bedau, F. Ronneburg, and M. Zwick, 1992, “Dynamics of Diversity in an Evolving Population,” in R. Männer and B. Manderick. eds., Parallel Problem Solving from Nature, 2, New York, Elsevier.

    Google Scholar 

  7. M. A. Bedau and R. Seymour, 1994, “Adaptation of Mutation Rates in a Simple Model of Evolution,” in R. Stonier and X. H. Yu, eds., Complex Systems Mechanisms of Adaptation, IOS Press, Amsterdam.

    Google Scholar 

  8. D. R. Brooks and E. O. Wiley, 1988, Evolution as Entropy, second edition, Chicago University Press, Chicago.

    Google Scholar 

  9. J. F. Crow and M. Kimura, 1970, An Introduction to Population Genetics Theory, Harper and Row, New York.

    Google Scholar 

  10. R. Dawkins, 1982, The Extended Phenotype, Oxford University Press, New York.

    Google Scholar 

  11. R. Dawkins, 1983, “Adaptationism Was Always Predictive and Needs No Defense,” Behavioral and Brain Sciences, 6, 360–61.

    Google Scholar 

  12. D. C. Dennett, 1983, “Intentional Systems in Cognitive Ethology: the ‘Panglossian Paradigm’ Defended,” Behavioral and Brain Sciences, 6, 343–390.

    Google Scholar 

  13. N. Eldredge and S. J. Gould, 1972, “Punctuated Equilibria: An Alternative to Phyletic Gradualism,” in T. J. M. Schopf, ed., Models in Paleobiology, Freeman, Cooper and Company, San Francisco.

    Google Scholar 

  14. W. J. Ewens, 1979, Mathematical Population Genetics, Springer-Verlag, Berlin.

    Google Scholar 

  15. D. S. Falconer, 1981, Introduction to Quantitative Genetics, second edition, Wiley, New York.

    Google Scholar 

  16. S. J. Gould, 1989, Wonderful Life, Norton, New York.

    Google Scholar 

  17. S. J. Gould and N. Eldredge, 1977, “Punctuated Equilibria: The Tempo and Mode of Evolution Reconsidered,” Paleobiology, 3, 115–151.

    Google Scholar 

  18. S. J. Gould and R. C. Lewontin, 1979, “The Spandrels of San Marco and the Panglossian Paradigm: A Critique of the Adaptationist Programme,” Proceedings of the Royal Society B, 205, 581–598.

    Google Scholar 

  19. D. Hillis, 1992, “Simulated Evolution and the Red Queen Hypothesis,” Biocomputation Workshop, Monterey, June 22–24.

    Google Scholar 

  20. G. R. Iversen and H. Norpoth, 1976, Analysis of Variance, Sage Publications, Beverly Hills, CA.

    Google Scholar 

  21. K. Lindgren, 1991, “Evolutionary Phenomena in Simple Dynamics,” in C. G. Langton, C. E. Taylor, J. D. Farmer, and S. Rasmussen, eds., Artificial Life II, SFI Studies in the Sciences of Complexity, Vol. X., Addison-Wesley, Redwood City, CA.

    Google Scholar 

  22. J. Maynard Smith, 1978, “Optimisation Theory in Evolution,” Annual Review of Ecology and Systematics, 9, 31–56.

    Google Scholar 

  23. J. Maynard Smith, 1989, Did Darwin Get It Right?, Chapman and Hall, New York.

    Google Scholar 

  24. E. Mayr, 1983, “How To Carry Out the Adaptationist Program,” American Naturalist, 121, 324–33.

    Google Scholar 

  25. E. Mayr, 1988, “Is Biology an Autonomous Science?” In his Towards a New Philosophy of Biology, Harvard University Press, Cambridge, MA.

    Google Scholar 

  26. E. Mayr, 1988, “Speciational Evolution through Punctuated Equilibria,” in his Towards a New Philosophy of Biology, Harvard University Press, Cambridge, MA.

    Google Scholar 

  27. N. H. Packard, 1989, “Intrinsic Adaptation in a Simple Model for Evolution,” in C. G. Langton, ed., Artificial life, SFI Studies in the Sciences of Complexity, Vol. VI., Addison-Wesley, Redwood City, CA.

    Google Scholar 

  28. T. Ray, 1991, “An Approach to the Synthesis of Life,” in C. G. Langton, C. E. Taylor, J. D. Farmer, and S. Rasmussen, eds., Artificial Life II, SFI Studies in the Sciences of Complexity, Vol. X., Addison-Wesley, Redwood City, CA.

    Google Scholar 

  29. A. Rosenberg, 1985, “Adaptationalist Imperatives and Panglossian Paradigms,” in J. H. Fetzer, ed., Sociobiology and EpistemoJogy, Reidel, Dordrecht.

    Google Scholar 

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Wolfgang Banzhaf Frank H. Eeckman

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© 1995 Springer-Verlag Berlin Heidelberg

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Bedau, M.A. (1995). Three illustrations of artificial life's working hypothesis. In: Banzhaf, W., Eeckman, F.H. (eds) Evolution and Biocomputation. Lecture Notes in Computer Science, vol 899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59046-3_5

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  • DOI: https://doi.org/10.1007/3-540-59046-3_5

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  • Print ISBN: 978-3-540-59046-0

  • Online ISBN: 978-3-540-49176-7

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