@inproceedings{444a75d32452487ba5e667bb688b05d3,
title = "Minimal criterion artist collective",
abstract = "Minimal criterion co-evolution (MCC) is an evolutionary algorithm that uses a simple reproduction constraint between two interacting populations to drive an open-ended search process. While it has previously been applied to parameterise simple agents and environments, in this work we extend its use to the generation of art: synthesising both images and music. As a creative AI tool which does not require any data, the use of MCC emphasises the design of the creative medium.",
keywords = "co-evolution, generative art, open-ended evolution",
author = "Kai Arulkumaran and Thu Nguyen-Phuoc",
year = "2022",
month = jul,
day = "9",
doi = "10.1145/3520304.3528763",
language = "English",
series = "GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference",
publisher = "Association for Computing Machinery",
pages = "687--690",
booktitle = "GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference",
address = "USA United States",
note = "2022 Genetic and Evolutionary Computation Conference, GECCO 2022 ; Conference date: 09-07-2022 Through 13-07-2022",
}