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Evolution of Migration Behavior with Multi-agent Simulation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5351))

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Abstract

We describe an artificial ecosystem consisting of five areas, evolving artificial creatures (called agents), and foods for the agents. The ecosystem was constructed for an analysis of migration behavior of the Monarch butterfly. We also report our simulation results on the emergence of the migration biology pertaining to the Monarch butterfly. We use real temperature data as an environmental parameter to define the environment in the field. To adapt to the environment, the agents have temperature sensors. We conducted two experiments using this ecosystem. The results show that the biology of the Monarch butterfly has been well modeled by the ecosystem and our evolutionary method.

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References

  1. Todd, P., Wilson, S.: Environment structure and adaptive behavior from the ground up. In: From Animals to Animats 2: Proceedings of the 2nd International Conference on Simulation of Adaptive Behavior, pp. 11–20 (1993)

    Google Scholar 

  2. Langton, C.G.: Studying artificial life with cellular automata. Physica. D 2, 135–149 (1986)

    MathSciNet  Google Scholar 

  3. Koza, J.R., Roughgarden, J., Rice, J.P.: Evolution of food-foraging strategies for the caribbean anolis lizard using genetic programming. Adaptive Behavior 1(2), 171–199 (1992)

    Article  Google Scholar 

  4. Oboshi, T., Kato, S., Mutoh, A., Itoh, H.: Collective or scattering: Evolving schooling behaviors to escape from predator. In: Proceedings of the 8th International Conference on the Simulation and Synthesis of Living Systems: Artificial Life VIII, pp. 386–389 (2003)

    Google Scholar 

  5. Toquenaga, Y., Kajitani, I., Hoshino, T.: Egrets of a feather flock together. In: Proceedings of the 4th International Workshop on the Synthesis and Simulation of Living Systems: Artificial Life IV, vol. 1(4), pp. 391–411 (1994)

    Google Scholar 

  6. Marco Remondino, A.C.: An evolutionary selection model based on a biological phenomenon: The periodical magicicadas. In: Nolfi, S., Baldassarre, G., Calabretta, R., Hallam, J.C.T., Marocco, D., Meyer, J.-A., Miglino, O., Parisi, D. (eds.) SAB 2006. LNCS (LNAI), vol. 4095, pp. 485–497. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  7. Sawada, T., Mutoh, A., Kato, S., Itoh, H.: A model of biological differentiation in adaptiogenesis to the environment. In: Proceedings of the 8th International Conference on the Simulation and Synthesis of Living Systems: Artificial Life VIII, pp. 93–96 (2002)

    Google Scholar 

  8. Hashizume, H., Mutoh, A., Kato, S., Itoh, H., Kunitachi, T.: Multi-agent simulations of adaptive behavior with temperature-sensing agents. In: IEEE SMC International Conference on Distributed Human-Machine Systems, pp. 109–114 (2008)

    Google Scholar 

  9. Alerstam, T., Hedenstrom, A., Akesson, S.: Long-distance migration: evolution and determinants. Oikos 103(2), 247–260 (2003)

    Article  Google Scholar 

  10. Walker, T.J.: Butterfly migrations in florida: Seasonal patterns and long-term changes. Environmental Entomology 30(6), 1052–1060 (2001)

    Article  Google Scholar 

  11. The University of Kansas Entomology Program: Monarch watch (2008), http://monarchwatch.org/

  12. National Oceanic and Atmospheric Administration: National Weather Service (2008), http://www.nws.noaa.gov/

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© 2008 Springer-Verlag Berlin Heidelberg

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Hashizume, H., Mutoh, A., Kato, S., Itoh, H. (2008). Evolution of Migration Behavior with Multi-agent Simulation. In: Ho, TB., Zhou, ZH. (eds) PRICAI 2008: Trends in Artificial Intelligence. PRICAI 2008. Lecture Notes in Computer Science(), vol 5351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89197-0_60

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  • DOI: https://doi.org/10.1007/978-3-540-89197-0_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89196-3

  • Online ISBN: 978-3-540-89197-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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