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ALife approach to eco-evo-devo using evolution of virtual creatures

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Abstract

Evolutionary developmental biology, evo-devo, emerged to integrate evolution and development in the 1980s, in which evolution is conceptualized as heritable changes in development. Recently, the field is moving to a new synthesis: ecological evolutionary developmental biology, eco-evo-devo. We believe that artificial life (ALife) approach will provide new insights into the field, and also contribute to the field of robotics through the emergence perspective and the constructive methodology. This paper explores the potential of such an artificial life approach based on the evolution of virtual creatures by presenting our ongoing studies with three models: (1) metamorphosis model, (2) exaptation model and (3) Prey-predator model.

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References

  1. Arthur W (2011) Evolution: a developmental approach. Wiley, New York

    Google Scholar 

  2. Moczek AP et al (2015) The significance and scope of evolutionary developmental biology: a vision for the 21st century. Evol Dev 17(3):198–219

    Article  Google Scholar 

  3. Gilbert SF, Epel D (2009) Ecological developmental biology: integrating epigenetics, medicine, and evolution. Sinauer

  4. Abouheif E, Favé M-J, Ibarrarán-Viniegra AS, Lesoway MP, Rafiqi AM, Rajakumar R (2014) Eco-evo-devo: the time has come. Ecological genomics: ecology and the evolution of genes and genomes. Springer, Netherlands, pp 107–125

    Google Scholar 

  5. Müller GB (2007) Evo-devo: extending the evolutionary synthesis. Nat Rev Genet 8(12):943–949

    Article  Google Scholar 

  6. Sims K (1994) Evolving virtual creatures. In: Proceedings of the 21st annual conference on computer graphics and interactive techniques (SIGGRAPH 94), pp 15–22

  7. Sims K (1994) Evolving 3D morphology and behavior by competition. In: Proceedings of artificial life IV, pp 28–39

  8. Gould SJ, Vrba ES (1982) Exaptation: a missing term in the science of form. Paleobiology 8(1):4–15

    Article  Google Scholar 

  9. Stanley KO, Miikkulainen R (2003) A taxonomy for artificial embryogeny. Artif Life 9(2):93–130

    Article  Google Scholar 

  10. Groombridge B (ed) (1992) Global biodiversity: status of the earth’s living resources, a report compiled by the world conservation monitoring centre. Chapman & Hall, London

  11. Joachimczak M, Suzuki R, Arita T (in press) Artificial metamorphosis: evolutionary design of transforming, Soft-bodied Robots. Artificial Life, MIT Press, Cambridge

  12. Joachimczak M, Suzuki R, Arita T (2015) Improving evolvability of morphologies and controllers of developmental soft-bodied robots with novelty search. Front Robot AI Comput Intell 2:33

    Google Scholar 

  13. Stanley KO, Miikkulainen R (2002) Evolving neural networks through augmenting topologies. Evol Comput 10(2):99–127

    Article  Google Scholar 

  14. Pievani T, Serrelli E (2011) Exaptation in human evolution: how to test adaptive vs exaptive evolutionary hypotheses. Journal of Anthropological Sciences 89:9–23

    Google Scholar 

  15. Asakura A, Suzuki R, Arita T (2015) Evolving 3D virtual creatures through exaptation triggered by environmental change. Artif Life Robot 20(3):244–250

    Article  Google Scholar 

  16. Pilat ML, Jacob C (2008) Creature academy: a system for virtual creature evolution. In: Proceedings of the IEEE congress on evolutionary computation (CEC 2008), pp 3289–3297

  17. Kokko H, Lopez-Sepulcre A (2007) The ecogenetic link between demography and evolution: can we bridge the gap between theory and data? Ecol Lett 10(9):773–782

    Article  Google Scholar 

  18. Post DM, Palkovacs EP (2009) Eco-evolutionary feedbacks in community and ecosystem ecology: interactions between the ecological theatre and the evolutionary play. Philos Trans R Soc B 364(1523):1629–1640

    Article  Google Scholar 

  19. Ito T, Pilat ML, Suzuki R, Arita T (in press) Population and evolutionary dynamics based on predator-prey relationship in 3D physical simulation. Artif Life. doi:10.7551/978-0-262-32621-6-ch018

  20. Ito T, Pilat ML, Suzuki R, Arita T (2015) Evolutionary change precedes extinction in eco-evolutionary dynamics based on a 3D virtual predator-prey system. In: Proceedings of the 13th European conference on artificial life, p 639

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Acknowledgments

This work was supported by the Japan Society for the Promotion of Science (JSPS) through JSPS KAKENHI Grant Numbers 26-04349 and 26-10516, and also by the JSPS Fellowship for Foreign Researchers.

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Authors and Affiliations

  1. Nagoya University, Nagoya, Japan

    Takaya Arita, Michał Joachimczak, Takashi Ito, Atsushi Asakura & Reiji Suzuki

Authors
  1. Takaya Arita
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  2. Michał Joachimczak
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  3. Takashi Ito
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  4. Atsushi Asakura
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  5. Reiji Suzuki
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Correspondence to Takaya Arita.

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Arita, T., Joachimczak, M., Ito, T. et al. ALife approach to eco-evo-devo using evolution of virtual creatures. Artif Life Robotics 21, 141–148 (2016). https://doi.org/10.1007/s10015-016-0278-5

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  • DOI: https://doi.org/10.1007/s10015-016-0278-5

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