Abstract
Within the field of artificial life it has been possible to create numerous virtual models that have allowed the study of the behaviour of living organisms and their interactions within artificially created ecosystems. Whilst the methods employed in this field have been mostly explored by various researchers in their projects, they had not been broadly applied to the entertainment and art fields.
This paper focuses on a system (digital toy) which contains artificial life agents. These agents learn to interpret external audio commands and adapt to their environment using evolutionary computation and machine learning.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Gostyaeva, G., Machado, P., Martins, T. (2019). Evolving Virtual Ecology. In: Brooks, A., Brooks, E., Sylla, C. (eds) Interactivity, Game Creation, Design, Learning, and Innovation. ArtsIT DLI 2018 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 265. Springer, Cham. https://doi.org/10.1007/978-3-030-06134-0_26
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DOI: https://doi.org/10.1007/978-3-030-06134-0_26
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