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Bayes-Nash equilibrium is a concept in game theory where players make decisions based on their beliefs about the probabilities of different outcomes. It combines the ideas of Bayesian probability and Nash equilibrium. In this equilibrium, each player's strategy is optimal given their beliefs and the strategies of the other players. This impacts decision-making in game theory by providing a framework for analyzing strategic interactions where players have incomplete information.

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Q: What is the concept of Bayes-Nash equilibrium and how does it impact decision-making in game theory?
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