Report from Dagstuhl Research Meeting 19153 Foundations of Digital Archæoludology Edited by Cameron Browne1, Dennis J. N. J. Soemers1, Éric Piette1, Matthew Stephenson1, Michael Conrad2, Walter Crist3, Thierry Depaulis4, Eddie Duggan5, Fred Horn4, Steven Kelk1, Simon M. Lucas6, João Pedro Neto7, David Parlett4, Abdallah Saffidine8, Ulrich Schädler9, Jorge Nuno Silva7, Alex de Voogt10, and Mark H. M. Winands1 1 Department of Data Science and Knowledge Engineering, Maastricht University, the Netherlands
[email protected] 2 Kunsthistorisches Institut, Universität Zürich, Switzerland 3 Department of Anthropology, American Museum of Natural History, United States of America 4 Independent 5 Department of Science, Technology and Engineering, University of Suffolk, England 6 School of Electronic Engineering and Computer Science, Queen Mary University of London, England 7 University of Lisbon, Portugal 8 School of Computer Science and Engineering, University of New South Wales, Australia 9 Swiss Museum of Games, Switzerland 10 Economics & Business Department, Drew University, United States of America Abstract Digital Archæoludology (DAL) is a new field of study involving the analysis and reconstruc- tion 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 histor- ians and other researchers better understand traditional games, their development throughout recorded human history, and their relationship to the development of human culture and math- ematical 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, com- putational phylogenetics, mathematics, history, archaeology, anthropology, etc.