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“Noncooperative games” books analyze strategic decision-making among self-interested individuals or organizations when binding agreements cannot be enforced, so each actor chooses actions to maximize their own payoff. Works in this category introduce the core tools of noncooperative game theory—players, strategies, payoffs, and equilibrium concepts such as Nash, subgame-perfect, and Bayesian equilibrium—and explore dynamic and repeated interactions under complete and incomplete information. Topics commonly include auctions, bargaining, mechanism design, voting and contests, market competition and pricing, network and algorithmic games, and evolutionary dynamics. The category spans rigorous textbooks, research monographs, and applied case studies, with applications across economics, political science, law, computer science, and biology. Emphasis is typically on formal modeling and inference for predicting behavior and designing incentives in competitive or conflict settings.

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