alt Hacker NewsArchaeology is an unusual discipline in that it incorporates so many others as tools. Chemistry, physics, geology, CPSC, you name it. It's difficult enough to figure out what people were doing based on ruins and trash pits. It's harder still when there are so many disciplines involved that, each, introduce their own uncertainties.
That being said, "We asked an AI..." is a special kind of uncertainty that goes above and beyond anything else Archaeologists do.
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"No written rules for this game survived antiquity. To reconstruct how the game may have been played, researchers turned to the Ludii General Game System — a comprehensive digital platform developed at Maastricht University that can model and simulate thousands of historic board games. The results were published in the journal Antiquity (Volume 100, Issue 409, 2025).
Using Alpha-Beta search agents — the same class of algorithm that powered early chess computers — the team ran 1,000 simulated rounds for each candidate ruleset, allowing one second of processing time per move. The AI tracked which lines on the board were used most frequently during play, generating detailed edge-usage statistics.
These statistics were then compared to the physical wear patterns on Object 04433. To account for human cognitive biases — such as right-handed players preferring to play on the right side of the board — the researchers applied symmetry transformations to the simulation results, maximising consistency between AI-generated play and the actual marks left by ancient players.
Nine game configurations matched the wear criteria. All of them were blocking games, and the most frequently matching format was a four-versus-two game in which pieces start on the board. This site faithfully reproduces one of these AI-validated configurations."
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It's interesting that they considered use-wear on found pieces as input for their AI. Still, this study made a lot of assumptions. I wouldn't be surprised if a different team could use the same methods and come up with a completely different result.
I think the study would be more palatable if it was presented as an exploration of AI-aided methods and very strongly impressed that any one result was not the point.