👉 Enemy math, also known as adversarial math or game theory in a mathematical context, refers to the strategic interactions between two or more parties where each party's optimal decision depends on the anticipated actions of the other. In this framework, the "enemy" is typically another player or entity that is trying to minimize the first party's gains or maximize its losses. This concept is widely used in fields like economics, political science, and computer science to model competitive scenarios. For example, in a game where two companies are deciding on pricing strategies, each company must consider not only its own profit but also how the other company will react, leading to a Nash equilibrium where neither can improve their outcome by unilaterally changing their strategy. The enemy math helps in predicting and optimizing outcomes in such competitive environments by analyzing potential moves and counter-moves.
