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Population Dynamics under Spatially and Temporally Heterogenous Resource Limitations in Multi-agent Networks

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Advances in Artificial Life (ECAL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2801))

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Abstract

An individual-based agent model is presented which resembles aspects of natural evolution in ecosystems under selective pressure due to limited resources. The environmental conditions are determined by spatial and temporal variability of resource abundances. The agents have to choose between three different types of resources; the one consumed most during lifetime solely counts for the fitness of the individual agent. Simulation runs show that populations specialized in different resource types are mutually influencing each other under temporal variation of a single resource type. Mobility of agents in a locally heterogenous world enables recolonization after a population has starved to death. Wavelet analysis of the population time series reveals that some observed population dynamics show phenomena such as localized periodicities which cannot be explained by linear dependencies on the resource input dynamics.

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References

  1. Bedau, M.A., Snyder, E., Packard, N.H.: A Classification of Long-Term Evolutionary Dynamics. In: Artificial Life VI. MIT Press, Cambridge (1998)

    Google Scholar 

  2. Csuhaj-Varjú, E., Kelemen, J., Kelemenová, A., Păun, G.: Eco-Grammar Systems: A Grammatical Framework for Studying Lifelike Interactions. Artificial Life 3, 1–28 (1997)

    Article  Google Scholar 

  3. Ferber, J.: Multi-agent systems. In: An Introduction to Distributed Artificial Intelligence, Addison-Wesley, Reading (1999)

    Google Scholar 

  4. Glotzmann, T., Lange, H., Hauhs, M., Lamm, A.: Evolving Multi-Agent Networks in Structured Environments. In: Kelemen, J., Sosik, P. (eds.) Advances in Artificial Life, pp. 110–119. Springer, Berlin (2001)

    Chapter  Google Scholar 

  5. Glotzmann, T.: Ein agentenbasiertes Simulationssystem zur Entwicklung ökosystemarer Szenarien in strukturierten Umgebungen. In: Bayreuther Forum Ökologie, Bayreuth (2003) (to appear)

    Google Scholar 

  6. Hipel, K., McLeod, A.: Time series modelling of water resources and environmental systems. Elsevier, Amsterdam (1994)

    Google Scholar 

  7. Hraber, P.T., Jones, T., Forrest, S.: The Ecology of Echo. Artificial Life 3, 165–190 (1997)

    Article  Google Scholar 

  8. Schmid, T.: Evolutionäre Anpassungen in einem verteilten Multi-Agenten-System. Diplom Thesis, Univ. Bayreuth (2001)

    Google Scholar 

  9. Suzuki, Y., Tsumoto, S., Tanaka, H.: Analysis of Cycles in Symbolic Chemical System based on Abstract Rewriting System on Multisets. In: Artificial Life V, pp. 522–528. MIT press, Cambridge (1997)

    Google Scholar 

  10. Torrence, C., Compo, G.P.: A Practical Guide to Wa velet Analysis. Bulletin of the American Meteorological Society, 61–78 (1998)

    Google Scholar 

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Authors and Affiliations

  1. Bayreuther Institut für Terrestrische Ökosystemforschung (BITÖK), University of Bayreuth, Dr.-Hans-Frisch-Straße 1-3, 95448, Bayreuth, Germany

    Thomas Glotzmann & Michael Hauhs

  2. Norwegian Forest Research Institute (Skogforsk), Høgskoleveien 12, N-1432, Ås, Norway

    Holger Lange

Authors
  1. Thomas Glotzmann
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  2. Holger Lange
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  3. Michael Hauhs
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Memorial University of Newfoundland, Canada

    Wolfgang Banzhaf

  2. Department of Computer Science, University of Dortmund, 11, Joseph-von-Fraunhofer-Str. 20, 44227, Dortmund, Germany

    Jens Ziegler

  3. Fraunhofer IAIS, Sankt Augustin

    Thomas Christaller

  4. Bio Systems Analysis Group, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 1–4, D-07743, Jena, Germany

    Peter Dittrich

  5. School of Computing Sciences, University of East Anglia, NR4 7TJ, Norwich, United Kingdom

    Jan T. Kim

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© 2003 Springer-Verlag Berlin Heidelberg

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Glotzmann, T., Lange, H., Hauhs, M. (2003). Population Dynamics under Spatially and Temporally Heterogenous Resource Limitations in Multi-agent Networks. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_35

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  • DOI: https://doi.org/10.1007/978-3-540-39432-7_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20057-4

  • Online ISBN: 978-3-540-39432-7

  • eBook Packages: Springer Book Archive

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