Implicit fitness functions for evolving a drawing robot
Inhaltsverzeichnis
Reference
Bird, Jon; Husbands, Phil; Perris, Martin; Bigge, Bill; Brown, Paul: Implicit fitness functions for evolving a drawing robot. In: EvoMUSART 2008, S. 473-478.
DOI
http://link.springer.com/10.1007/978-3-540-78761-7_50
Abstract
We describe an approach to artificially evolving a drawing robot using implicit fitness functions, which are designed to minimise any direct reference to the line patterns made by the robot. We employ this approach to reduce the constraints we place on the robot’s autonomy and increase its utility as a test bed for synthetically investigating creativity. We demonstrate the critical role of neural network architecture in the line patterns generated by the robot.
Extended Abstract
Bibtex
Used References
Bird, J., Stokes, D.: Minimal Creativity, Evaluation and Pattern Discrimination. In: Cardoso, A., Wiggins, G. (eds.) Proceedings of the 4th International Joint Conference on Computational Creativity, pp. 121–128 (2007)
Nolfi, S., Floreano, D.: Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines. MIT Press/Bradford Books, Cambridge (2000)
Cliff, D., Harvey, I., Husbands, P.: Explorations in Evolutionary Robotics. Adaptive Behavior 2, 73–110 (1993)
Perris, M.: Evolving Ecologically Inspired Drawing Behaviours. MSc dissertation, Department of Informatics, University of Sussex (2007)
Links
Full Text
Sonstige Links
Paul Brown, Bill Bigge, Jon Bird, Phil Husbands, Martin Perris, Dustin Stokes: THE DRAWBOTS
