AI RESEARCH
InfoChess: A Game of Adversarial Inference and a Laboratory for Quantifiable Information Control
arXiv CS.AI
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ArXi:2604.15373v1 Announce Type: cross We propose InfoChess, a symmetric adversarial game that elevates competitive information acquisition to the primary objective. There is no piece capture, removing material incentives that would otherwise confound the role of information. Instead, pieces are used to alter visibility. Players are scored on their probabilistic inference of the opponent's king location over the duration of the game. To explore the space of strategies for playing InfoChess, we.