Researchers Use AI To Identify Ancient Gameboard
Researchers led by Walter Crist at Leiden University published today in Antiquity reporting they used AI-driven simulated play to test whether an oval stone from Coriovallum (a Roman town in the modern Netherlands) is a game board. The simulations matched blocking-game mechanics as the best fit for the uneven abrasion patterns, supporting the board-game identification and suggesting blocking games may have existed in Europe centuries earlier than previously documented.
Key Points
- 1Used AI-simulated play to test game rules against abrasion patterns on a Roman-era stone board
- 2Matched gameplay to blocking games, indicating such mechanics likely produced the uneven wear patterns
- 3Suggests blocking games existed in Europe centuries earlier, offering archaeologists a new identification method
Scoring Rationale
Innovative, peer-reviewed method applied to archaeology, offering practical identification tools but limited by niche scope and dependence on preserved wear patterns.
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