+**Adversarial Search** is a branch of [Artificial Intelligence](/wiki/artificial_intelligence) that focuses on algorithms for decision-making in competitive multi-agent environments. These techniques, crucial in [Game Theory](/wiki/game_theory), model scenarios where agents strive to optimize their outcomes despite an opponent's conflicting goals.
+## See also
+- [Minimax](/wiki/minimax)
+- [Alpha-Beta Pruning](/wiki/alpha-beta_pruning)
+- [Agent](/wiki/agent)
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