The Digital Ludeme Project is an ERC-funded project that I am working on as PhD student under the supervision of Dr. Cameron Browne at Maastricht University’s Department of Data Science and Knowledge Engineering.
Summary from project page: “This project is a computational study of the world’s traditional strategy games throughout recorded human history. It aims to improve our understanding of traditional games using modern AI techniques, to chart their historical development and explore their role in the development of human culture and the spread of mathematical ideas.”
My personal focus is on AI techniques, including search and learning algorithms, within the context of the project.
Project outputs (involving me as author):
Dennis J.N.J. Soemers, Éric Piette, and Cameron Browne (2019). “Biasing MCTS with Features for General Games”. In 2019 IEEE Congress on Evolutionary Computation (CEC 2019), Accepted. [pdf (preprint)]
Cameron Browne, Dennis J.N.J. Soemers, and Eric Piette (2019). “Strategic Features for General Games”. In Proceedings of the 2nd Workshop on Knowledge Extraction from Games (KEG), pp. 70–75. [pdf] [pdf mirror]