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A Model for the Evolution of Environments

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Virtual Worlds (VW 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1434))

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Abstract

In artificial world research, the environments as themselves are rarely studied. Both in multi — agents systems and artificial life domains, the dominant work turns around the active entities, the agents. The aim of this paper is to propose a theoretical approach of an environment model. It must allow to deal with the different existing environment types but also to add a creative touch by introducing the concepts of meta — environment and multi — environments. This model defines some evolutionary schemes for an environment, and the different ways of interaction between them.

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References

  1. [Holland, 62] Holland John, Outline for a Logical Theory of Adaptive Systems, in Journal of the Association for Computing Machinery, volume 9:3, July 1962, pages 297–314.

    MATH  Google Scholar 

  2. [Ferber, 95] Ferber Jacques, Les Systèmes Multi-Agents: vers une Intelligence Collective, Inter-Editions, 1995.

    Google Scholar 

  3. [Wilson, 85] Wilson Stewart, Knowledge Growth in an Artificial Animal, in Proceedings of the 1st International Conference on Genetic Algorithms, 1985, pages 16–23.

    Google Scholar 

  4. [Goldberg, 89] Goldberg David, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, 1989.

    Google Scholar 

  5. [Holland, 92] Holland John, Adaptation in Natural and Artificial Systems, MIT Press, 2nde Ed., 1992.

    Google Scholar 

  6. [Bergson, 1907] Bergson Henri, L’évolution créatrice, PUF, 1907.

    Google Scholar 

  7. [Numaoka, 96] Numaoka Chisato, Bacterial Evolution Algorithm for Rapid Adaptation, in Lecture Notes in Artificial Intelligence 1038, Springer-Verlag, pages 139–148.

    Google Scholar 

  8. [Ferrand, 96] Ferrand Nils, Modelling and Supporting Multi-Actor Spatial Planning Using Multi-Agents Systems, in Proceedings of the 3rd International Conference on Integrating GIS and Environment Modelling, January 21–25, Santa Fe, New Mexico, USA, 1996.

    Google Scholar 

  9. [McKeown & al., 96] McKeown R. & al., Ecosystem Modelling of Spatially Explicit Land surface Changes for Climate and Global Change Analysis, in Proceedings of the 3rd International Conference on Integrating GIS and Environment Modelling, January 21–25, Santa Fe, New Mexico, USA, 1996.

    Google Scholar 

  10. [Drogoul, 93] Drogoul Alexis, De la simulation multi-agents à la résolution collective de problèmes, Thèse de Doctorat, Laforia, Université Paris VI, 1993.

    Google Scholar 

  11. [Lindgren & Nordahl, 95] Lindgren Kristian & Nordahl Mats G., Cooperation and Community Structure in Artificial Ecosystems, in Artificial Life: An Overview, C. Langton Eds., MIT Press / Bradford Books, 1995, pages 15–37.

    Google Scholar 

  12. [Lhuillier, 98] Lhuillier Marc, Une approche à base de composants logiciels pour la conception d’agents, Thèse de Doctorat, LIP6, Université Paris VI, 1998.

    Google Scholar 

  13. [Lattaud, 98] Lattaud Claude, A Macro — Mutation Operator in Genetic Algorithms, in Proceedings of the 13th European Conference on Artificial Intelligence, August 23–28, Brighton, England, 1998, pages 323–324.

    Google Scholar 

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© 1998 Springer-Verlag Berlin Heidelberg

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Lattaud, C., Cuenca, C. (1998). A Model for the Evolution of Environments. In: Heudin, JC. (eds) Virtual Worlds. VW 1998. Lecture Notes in Computer Science(), vol 1434. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-68686-X_21

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  • DOI: https://doi.org/10.1007/3-540-68686-X_21

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64780-5

  • Online ISBN: 978-3-540-68686-6

  • eBook Packages: Springer Book Archive

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