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Title: Transforming exploratory creativity with DeLeNoX
Authors: Liapis, Antonios
Martinez, Hector P.
Togelius, Julian
Yannakakis, Georgios N.
Keywords: Computer games -- Design and construction
Human-computer interaction
Artificial intelligence
Genetic algorithms
Issue Date: 2013
Publisher: University of Sydney. Faculty of Architecture, Design and Planning
Citation: Liapis, A., Martínez, H. P., Togelius, J., & Yannakakis, G. N. (2013). Transforming exploratory creativity with DeLeNoX. Fourth International Conference on Computational Creativity, Sydney. 56-63.
Abstract: We introduce DeLeNoX (Deep Learning Novelty Explorer), a system that autonomously creates artifacts in constrained spaces according to its own evolving interestingness criterion. DeLeNoX proceeds in alternating phases of exploration and transformation. In the exploration phases, a version of novelty search augmented with constraint handling searches for maximally diverse artifacts using a given distance function. In the transformation phases, a deep learning autoencoder learns to compress the variation between the found artifacts into a lower-dimensional space. The newly trained encoder is then used as the basis for a new distance function, transforming the criteria for the next exploration phase. In the current paper, we apply DeLeNoX to the creation of spaceships suitable for use in two-dimensional arcade-style computer games, a representative problem in procedural content generation in games. We also situate DeLeNoX in relation to the distinction between exploratory and transformational creativity, and in relation to Schmidhuber’s theory of creativity through the drive for compression progress.
ISBN: 9781742103174
Appears in Collections:Scholarly Works - InsDG

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