Conference Publication Details
Mandatory Fields
Breen, A, O'Riordan, C,
PROCEEDINGS OF THE 8TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE, VOL 1: ECTA
Evolving Art using Aesthetic Analogies Evolutionary Supervised Learning to Generate Art with Grammatical Evolution
2016
January
Published
1
()
Optional Fields
Genetic Algorithms Evolutionary Art and Design Genetic Programming Hybrid Systems Computational Analogy Aesthetics CONSONANCE
59
68
In this paper we describe an evolutionary approach using models of human aesthetic experience to evolve expressions capable of generating real-time aesthetic analogies between two different artistic domains. We outline a conceptual structure used to define aesthetic analogies and guide the collection of empirical data used to build aesthetic models. We also present a Grammatical Evolution based system making use of aesthetic models with a heuristic based fitness calculation approach to evaluate evolved expressions. We demonstrate a working model that has been designed to implement this system and use the evolved expressions to generate real-time aesthetic analogies with input music and output visuals. With this system we can generate novel artistic visual displays, similar to a light show at a music concert, which can react to the musician's performance in real-time.
10.5220/0006048400590068
Grant Details
Publication Themes