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Game AI Applications for Historical Games Research

This Digital Ludeme Project (DLP) workshop, co-funded by the European Research Council (ERC), the European Cooperation in Science and Technology (COST), and the University Fund Limburg/SWOL (SWOL) is being held from 11-14 April 2022 at Maastricht, the Netherlands.

Maastricht


Aim and Topics

This workshop will gather AI researchers, Archaeologists, Historians, game designers and other games scholars to develop interdisciplinary approaches for a better understanding of games and the development of new AI techniques.

The main topics of this workshop are to discuss overlapping questions, approaches and challenges with regard to Game AI and the History, Archaeology and Anthropology of games, using the Ludii general game system -- and the significant database of evidence for traditional games collected by the DLP -- to investigate issues regarding the transmission, identification, reconstruction and evolution of games.

During this workshop, researchers will present their recent ideas and research interests to motivate the discussion and potentially lead to new collaborations. DLP team members will present recent work on reconstructing, analysing, documenting and mapping games, in addition to general Game AI, and will conduct tutorials on using the Ludii system. These presentations are aimed at fostering inter-disciplinary discussions over the four days of the workshop.

Topics of interest include:

- Digital Archaeoludology: Modelling, analysing and reconstructing ancient games.
- Game AI: General Game Playing, search and machine learning.
- Archaeology and the History of Games: Transmission, identification and evolution.
- Game Design: Measuring games for playability and quality.
- Games for Education.

The schedule is available Here.
To join remotely the workshop please use Zoom.


Invited Speakers


Confirmed Participants


Venue

The workshop will be held at the Department of Data Science and Knowledge Engineering (DKE), Maastricht University.
Paul-Henri Spaaklaan 1 6229 EN, Maastricht.
Room C1.015





How to reach Maastricht?
  • Via Brussels Airport (Zaventem) and subsequent train service (approx. 2:00h) to Maastricht.
  • Via Amsterdam Schiphol Airport and subsequent train service (approx. 2:30–3:00h) to Maastricht.
  • Via Düsseldorf Airport and subsequent train service (approx. 2:30–3:15h) to Maastricht.
  • Via Cologne-Bonn Airport and subsequent train service (approx. 2:30h) to Maastricht central station.
  • Via Eindhoven Airport and subsequent bus line 400 or 401 to Eindhoven Centraal (approximately 00:30h), and train to Maastricht (approximately 01:00h).
  • Directly to Maastricht-Aachen Airport and subsequent taxi to Maastricht. The airport is very small. There are only a few connections to Maastricht-Aachen Airport.

Organisers


Sponsors

ERC COST SWOL
UM

 

     Contact Us
     ludii.games@gmail.com
     cameron.browne@maastrichtuniversity.nl

lkjh Maastricht University Data Science and Knowledge Engineering (DKE), Paul-Henri Spaaklaan 1, 6229 EN Maastricht, Netherlands Funded by a €2m ERC Consolidator Grant (#771292) from the European Research Council