Computational game theory is a research field at the intersection of computer science and game theory. It investigates the computational complexity of analyzing and solving strategic interactions, develops algorithms for finding game-theoretic equilibria and optimal strategies, and applies game-theoretic concepts to the design and analysis of computational systems involving multiple interacting agents. This discipline provides the theoretical and practical tools necessary to understand and engineer systems where participants make decisions based on optimizing their own outcomes, particularly in contexts involving computational constraints or large-scale interactions.