SensiLab researchers have presented new technical papers at this year’s EvoMusArt conference, the 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design.

Held virtually due to COVID-19 restrictions for the second year in a row, the conference is one of the world’s leading academic forums for disseminating research on the application of Artificial Intelligence technologies to music creation, visual art and design.

A paper by Jon McCormack, Camilo Cruz Gambardella and Andy Lomas, titled “The Enigma of Complexity” looked at how different measures of visual complexity correlated to individuals artist’s concepts of aesthetics. The study used three different datasets: a collection of over 1,700 images of Morphogenetic Forms by Andy Lomas, a collection of 53 images generated by Jon McCormack’s Niche Construction generative system and 2,500 images of 3D forms grown using an agent-based algorithm. The researchers have made all three datasets publicly available for use by the broader academic research community. A pre-print of the paper downloaded from arXiv: https://arxiv.org/abs/2102.02332