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
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)
Langton, C.G.: Studying artificial life with cellular automata. Physica. D 2, 135–149 (1986)
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)
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)
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)
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)
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)
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)
Alerstam, T., Hedenstrom, A., Akesson, S.: Long-distance migration: evolution and determinants. Oikos 103(2), 247–260 (2003)
Walker, T.J.: Butterfly migrations in florida: Seasonal patterns and long-term changes. Environmental Entomology 30(6), 1052–1060 (2001)
The University of Kansas Entomology Program: Monarch watch (2008), http://monarchwatch.org/
National Oceanic and Atmospheric Administration: National Weather Service (2008), http://www.nws.noaa.gov/
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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
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