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Artificial Life and Historical Processes

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Advances in Artificial Life (ECAL 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2159))

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Abstract

Artificial Life is partly aimed at understanding the organisation and complexity of living processes. In this paper the concept of a historical process is discussed with the aim of providing a framework with which to approach diverse phenomena in organismic, ecological, and evolutionary contexts. A historical process is such, not because it is subject to contingencies, nor because it may be explained in historical terms, but because it presents a special relation between its dynamics and changes in its own conditions of realisation. Such processes may lead to durable spontaneous patterns and novelty. It is argued that such patterns can provide powerful explanatory tools and that Artificial Life simulation techniques are well fitted for their exploration.

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References

  1. Boerlijst, M.C., Hogeweg, P.: Spiral wave structure in pre-biotic evolution: Hypercycles stable against parasites. Physica D 48 (1991) 17–28

    MATH  Google Scholar 

  2. Hemelrijk, C.K.: An individual-oriented model on the emergence of despotic and egalitarian societies. Proc. Roy. Soc. Lond. B 266 (1999) 361–369

    Article  Google Scholar 

  3. Theraulaz, G., Bonabeau, E.: A brief history of stigmergy. Artificial Life 5 (1999) 97–116

    Article  Google Scholar 

  4. Prigogine, I., Stengers, I.: Order out of chaos: Man’s new dialogue with nature. Heinemann, London (1984)

    Google Scholar 

  5. Waddington, C.H.: The evolution of an evolutionist. Edinburgh, UP (1975)

    Google Scholar 

  6. Woodger, J.H.: Biological principles: A critical study. Routledge, London (1929)

    Google Scholar 

  7. Nagel, E.: The structure of science: Problems in the logic of scientific explanations. Routledge, London (1961)

    Google Scholar 

  8. Gould, S.J.: Wonderful life: The Burgess Shale and the nature of history. Hutchinson Radius, London (1989)

    Google Scholar 

  9. Goldstein, H.:Classical Mechanics. 2nd edn. Addison-Wesley, Reading, MA (1980)

    Google Scholar 

  10. Gould, S.J.: A developmental constraint in Cerion, with comments on the definition and interpretation of constraint in evolution. Evolution 43(3) (1989) 516–539

    Article  Google Scholar 

  11. Pattee, H.H.: Laws and constraints, symbols and languages. In Waddington, C.H., ed.: Towards a Theoretical Biology 4, Essays. Edinburgh UP (1972) 248–258

    Google Scholar 

  12. Ashby, W.R.: Principles of the self-organizing system. In von Foerster, H., Zopf, G., eds.: Principles of Self-Organization, Pergammon Press, NY (1962) 255–278

    Google Scholar 

  13. Helbing, D., Keltsch, J., Molnár, P.: Modelling the evolution of human trail systems. Nature 388 (1997) 45–50

    Article  Google Scholar 

  14. Pask, G.: Physical analogues to the growth of a concept. In: Mechanisation of thought processes: Proceedings of a symposium held at the National Physical Laboratory on 24–27 November 1958. Vol. II, HM Stationary Office, London (1959)

    Google Scholar 

  15. Blackwell, D., Kendall, D.: The Martin boundary for Polya’s urn scheme and an application to stochastic population growth. J. Appl. Prob. 1 (1964) 284

    Article  MATH  MathSciNet  Google Scholar 

  16. Arthur, W.B.: Increasing returns and path dependence in the economy. Univ. of Michigan Press, Ann Arbor (1994)

    Google Scholar 

  17. Lewontin, R.: Organism and environment. In Plotkin, H.C., ed.: Learning, development and culture: Essays in evolutionary epistemology. Wiley, Chichester (1982)

    Google Scholar 

  18. Laland, K.N., Odling-Smee, J., Feldman, M.W.: Niche construction, biological evolution and cultural change. Behavioral and Brain Sciences 21 (2000) 131–146

    Article  Google Scholar 

  19. Jones, C.G., Lawton, J.H., Schachak, M.: Organisms as ecosystem engineers. Oikos 69 (1994) 373–386

    Article  Google Scholar 

  20. Crutchfield, J.P.: The calculi of emergence: Computation, dynamics and induction. Physica D 75 (1994) 11–54

    MATH  Google Scholar 

  21. Fontana, W., Wagner, G., Buss, L.W.: Beyond digital naturalism. Artificial Life 1/2 (1994) 211–227

    Google Scholar 

  22. Di Paolo, E.A., Noble, J., Bullock, S.: Simulation models as opaque thought experiments. In Bedau, M.A., McCaskill, J.S., Packard, N.H., Rasmussen, S., eds.: Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life, MIT Press, Cambridge, MA (2000) 497–506

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Cognitive and Computing Sciences, University of Sussex, UK

    Ezequiel A. Di Paolo

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  1. Ezequiel A. Di Paolo
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Editor information

Editors and Affiliations

  1. Faculty of Philosophy and Science Institute of Computer Science, Silesian University, 74601, Opava, Czech Republic

    Jozef Kelemen  & Petr Sosík  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Di Paolo, E.A. (2001). Artificial Life and Historical Processes. In: Kelemen, J., Sosík, P. (eds) Advances in Artificial Life. ECAL 2001. Lecture Notes in Computer Science(), vol 2159. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44811-X_75

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  • DOI: https://doi.org/10.1007/3-540-44811-X_75

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42567-0

  • Online ISBN: 978-3-540-44811-2

  • eBook Packages: Springer Book Archive

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