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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
[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.
[Ferber, 95] Ferber Jacques, Les Systèmes Multi-Agents: vers une Intelligence Collective, Inter-Editions, 1995.
[Wilson, 85] Wilson Stewart, Knowledge Growth in an Artificial Animal, in Proceedings of the 1st International Conference on Genetic Algorithms, 1985, pages 16–23.
[Goldberg, 89] Goldberg David, Genetic Algorithms in Search, Optimization and Machine Learning, Addison Wesley, 1989.
[Holland, 92] Holland John, Adaptation in Natural and Artificial Systems, MIT Press, 2nde Ed., 1992.
[Bergson, 1907] Bergson Henri, L’évolution créatrice, PUF, 1907.
[Numaoka, 96] Numaoka Chisato, Bacterial Evolution Algorithm for Rapid Adaptation, in Lecture Notes in Artificial Intelligence 1038, Springer-Verlag, pages 139–148.
[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.
[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.
[Drogoul, 93] Drogoul Alexis, De la simulation multi-agents à la résolution collective de problèmes, Thèse de Doctorat, Laforia, Université Paris VI, 1993.
[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.
[Lhuillier, 98] Lhuillier Marc, Une approche à base de composants logiciels pour la conception d’agents, Thèse de Doctorat, LIP6, Université Paris VI, 1998.
[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.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/3-540-68686-X_21
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64780-5
Online ISBN: 978-3-540-68686-6
eBook Packages: Springer Book Archive