- author = "Alice C. Helliwell",
- title = "Darwinian Creativity as a Model for Computational Creativity",
- booktitle = "Proceedings of the 7th Computational Creativity Symposium at AISB, CC2021",
- year = "2021",
- editor = "Juan Alvarado and Anna Jordanous",
- pages = "15--19",
- address = "online",
- month = "9 " # apr,
- keywords = "genetic algorithms, genetic programming, Simonton, Generative Adversarial Network, GAN, ANN, CAN",
-
URL = "
https://aisb.org.uk/wp-content/uploads/2021/04/cc_aisb_proc.pdf",
-
URL = "
https://nul.repository.guildhe.ac.uk/id/eprint/1558",
- size = "4.1 pages",
- abstract = "This philosophical paper examines the Darwinian account of creativity as a model for assessing computational creativity. It will first establish a Darwinian account of creativity using Simonton [1] model. It will then apply this model to popular image-producing AI, Generative Adversarial Networks, and the promising Creative Adversarial Network, both used in the computational production of artworks. The paper will argue that these networks are compatible with a Darwinian account of creativity, due to the presence of blind variation within the networks, a key component of Simonton's model. We address some initial objections. The aim is ultimately be to assess whether the AI systems are compatible with the Darwinian model of creativity, and in the process explore Darwinian creativity as a potential standard for testing computational creativity.",
-
notes = "[1] Simonton, D.K. 'Creativity as Blind Variation and
Selective Retention: Is the Creative Process
Darwinian?' Psychological Enquiry 10:309-328
(1999)
Dept. History and Philosophy of Art, Univ. of Kent CT2 7UG, UK",
