Math & Optimization · intermediate · concept 70 of 311 · Updated Nov 4, 2026
Game Theory for AI
Game theory studies decisions when the outcome depends on what others choose. In AI it explains how competing or cooperating agents should act, and why a stable outcome can still be a poor one. GANs, multi-agent systems, auctions and AI safety arguments about races between labs all lean on it, which makes it more practical than it first looks.
Key terms
Nash equilibriumZero-sum gameMechanism designPrisoner's dilemmaSelf-play
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Where you meet it in the real world
Ad auctions, game-playing AI, multi-agent systems, security resource allocation
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