Inspiration-Triggered Search : Towards Higher Complexities by Mimicking Creative Processes

Rybář, Milan; Hamann, Heiko

Inspiration-Triggered Search : Towards Higher Complexities by Mimicking Creative Processes

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Date

2016

Authors

Rybář, Milan

Hamann, Heiko

Publication type

Contribution to a conference collection

Publication status

Published

Published in

GECCO '16 : Proceedings of the Genetic and Evolutionary Computation Conference 2016 / Friedrich, Tobias et al. (ed.). - New York, NY : ACM, 2016. - pp. 165-172. - ISBN 978-1-4503-4206-3

Abstract

Open-ended evolution is still an unachieved goal in evolutionary computation. Evolution guided by objective functions can easily be trapped on local optima. Our approach is inspired by evolutionary paths along stepping stones, as observed in user behaviors of Picbreeder. We propose a general framework, inspiration-triggered search, which tries to roughly mimic the creative design process of a human being. Instead of using a fixed objective function, the search algorithm itself is free to switch between objectives within certain constraints but inspired by features of the currently evolved artifacts. The overall optimization task is to generate complex artifacts that cannot be generated by a direct optimization approach. In contrast to other approaches that make extensive use of external knowledge (e.g., Innovation Engines), we try to approach the ambitious goal of virtually bootstrapping a creative process from scratch. The proposed method is tested in the domain of images, that is to find complex and aesthetically pleasant images, and is compared to novelty search.

Subject (DDC)

004 Computer Science

Keywords

creative process, evolutionary art, non-objective search

Conference

GECCO '16 : Genetic and Evolutionary Computation Conference, Jul 20, 2016 - Jul 24, 2016, Denver, CO

Cite This

ISO 690

RYBÁŘ, Milan, Heiko HAMANN, 2016. Inspiration-Triggered Search : Towards Higher Complexities by Mimicking Creative Processes. GECCO '16 : Genetic and Evolutionary Computation Conference. Denver, CO, Jul 20, 2016 - Jul 24, 2016. In: FRIEDRICH, Tobias, ed. and others. GECCO '16 : Proceedings of the Genetic and Evolutionary Computation Conference 2016. New York, NY:ACM, pp. 165-172. ISBN 978-1-4503-4206-3. Available under: doi: 10.1145/2908812.2908815

BibTex

@inproceedings{Rybar2016Inspi-59884,
  year={2016},
  doi={10.1145/2908812.2908815},
  title={Inspiration-Triggered Search : Towards Higher Complexities by Mimicking Creative Processes},
  isbn={978-1-4503-4206-3},
  publisher={ACM},
  address={New York, NY},
  booktitle={GECCO '16 : Proceedings of the Genetic and Evolutionary Computation Conference 2016},
  pages={165--172},
  editor={Friedrich, Tobias},
  author={Rybář, Milan and Hamann, Heiko}
}

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