Foundations of Digital Archæoludology
May 31, 2019 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Cameron Browne, Dennis J. N. J. Soemers, Γric Piette, Matthew Stephenson, Michael Conrad, Walter Crist, Thierry Depaulis, Eddie Duggan, Fred Horn, Steven Kelk, Simon M. Lucas, JoΓ£o Pedro Neto, David Parlett, Abdallah Saffidine, Ulrich SchΓ€dler, Jorge Nuno Silva, Alex de Voogt, Mark H. M. Winands
arXiv ID
1905.13516
Category
cs.AI: Artificial Intelligence
Citations
9
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Digital Archaeoludology (DAL) is a new field of study involving the analysis and reconstruction of ancient games from incomplete descriptions and archaeological evidence using modern computational techniques. The aim is to provide digital tools and methods to help game historians and other researchers better understand traditional games, their development throughout recorded human history, and their relationship to the development of human culture and mathematical knowledge. This work is being explored in the ERC-funded Digital Ludeme Project. The aim of this inaugural international research meeting on DAL is to gather together leading experts in relevant disciplines - computer science, artificial intelligence, machine learning, computational phylogenetics, mathematics, history, archaeology, anthropology, etc. - to discuss the key themes and establish the foundations for this new field of research, so that it may continue beyond the lifetime of its initiating project.
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