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.
Scoring Rationale
Innovative, peer-reviewed method applied to archaeology, offering practical identification tools but limited by niche scope and dependence on preserved wear patterns.
Practice interview problems based on real data
1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with.
Try 250 free problems
