The article discusses how players in games can have different levels of information, leading to a concept called incomplete information. In these situations, players make decisions based on what they know, even if others have more information. The researchers found that by considering each player's best response given the information they have, they can identify Nash equilibria, where no player can improve their outcome by changing their strategy. This type of equilibrium is called Bayesian Nash equilibrium.