The article discusses how game theory and simulation can be used to understand competition in markets and organizations. It focuses on a type of game called a zero-sum game, where one player's gain is another player's loss. The researchers explore strategies for minimizing losses and maximizing gains, using concepts like maxmin and min-max. They analyze different methods for solving these games, including using linear programming. The key finding is that the strategies of two players in a zero-sum game can be simulated using techniques like mixed strategies and Microsoft Excel.