Best responses identify the strategy that performs most favorably given the choices of others. A Nash equilibrium occurs when every decision-maker is already choosing a best response, so no participant has an incentive to change strategy alone. This criterion helps distinguish a stable strategic outcome from one that would shift after unilateral reconsideration.
Payoffs represent the consequences associated with different combinations of choices, while information affects what decision-makers know about the situation and one another. Participants use these elements to anticipate likely responses and compare strategies. Changing the available information or expected reaction can therefore alter the selected strategy and the resulting economic outcome.
Cooperation and conflict arise because decision-makers may evaluate outcomes through different incentives and expectations. A choice that benefits one participant can impose costs on another, while coordinated choices may produce mutually favorable results. Game-theoretic analysis makes these tensions visible by comparing payoffs, strategies, and the responses associated with alternative forms of interaction.
In firm competition, analysts examine how one company’s pricing, market-entry, or other decisions affect rivals and how rival responses feed back into the original choice. Modeling these interdependent decisions helps explain competitive outcomes, including situations in which firms shape one another’s behavior rather than acting independently.
A practical analysis identifies the decision-makers, lists the strategies available to each, and specifies the payoffs associated with relevant combinations of choices. Researchers then determine best responses and examine whether a Nash equilibrium exists. Comparing equilibria or alternative outcomes can reveal how incentives, information, or institutional rules influence behavior.
Bargaining and auctions provide settings in which participants must account for the choices and anticipated responses of others. Strategic analysis can be used to study how incentives shape offers, participation, or competitive decisions, while also clarifying the resulting allocation and efficiency implications. These applications extend the framework beyond ordinary firm pricing decisions.