Abstract
We describe our efforts to evolve robot paintings using simulated robots. Our evolutionary framework considers only the initial positions and initial directions of the simulated robots. Our fitness functions depend on the global properties of the resulting robot paintings and on the behavior of the simulated robots that occurs while making the paintings. Our evolutionary framework therefore implements an optimization algorithm that can be used to try and help identify robot paintings with desirable aesthetic properties. The goal of this work is to better understand how art making by a collection of autonomous cooperating robots might occur in such a way that the robots themselves are able to participate in the evaluation of their creative efforts.
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Greenfield, G. (2006). Robot Paintings Evolved Using Simulated Robots. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2006. Lecture Notes in Computer Science, vol 3907. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11732242_58
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DOI: https://doi.org/10.1007/11732242_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33237-4
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