Nash equilibrium is a concept in game theory which states that each player has chosen a strategy and no one can increase their expected payoff by changing their own strategy while the other players keep theirs unchanged. It dates back to 1838 when Cournot applied it to competing firms choosing outputs. Nash showed that there is a Nash equilibrium for every finite game.
Carnegie Mellon University
Spring 2019
This course from Carnegie Mellon University provides a deep understanding of AI's theory and practice, covering methods for decision-making, problem-solving, and handling uncertainty. Topics include search algorithms, computational game theory, and AI ethics.
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