Computational Creativity
Computational creativity focuses on developing artificial systems capable of generating novel and valuable outputs, mirroring aspects of human creativity. Current research emphasizes improving the collaborative interaction between humans and AI systems, often employing large language models (LLMs) and reinforcement learning to enhance the creativity and coherence of generated content, such as text, images, and music. This field is significant for advancing our understanding of creativity itself and has practical applications in various creative industries, including art, design, and entertainment.
Papers
The Beyond the Fence Musical and Computer Says Show Documentary
Simon Colton, Maria Teresa Llano, Rose Hepworth, John Charnley, Catherine V. Gale, Archie Baron, Francois Pachet, Pierre Roy, Pablo Gervas, Nick Collins, Bob Sturm, Tillman Weyde, Daniel Wolff, James Robert Lloyd
Explainable Computational Creativity
Maria Teresa Llano, Mark d'Inverno, Matthew Yee-King, Jon McCormack, Alon Ilsar, Alison Pease, Simon Colton