Nash equilibriumIt is an important strategy combination in game theory, named after economist John Nash, and is also called non-cooperative game equilibrium.

The significance of Nash equilibrium

Nash equilibrium means that in a strategic cooperation, if outsiders do not change their strategies, no one will change their strategy, which ensures that the strategy of each participant is the optimal choice at the same time.

Nash equilibrium is a game result based on two premises: the participants are independent and do not communicate with each other; and they predict the strategies of others and choose the optimal solution based on them.

Artificial Intelligence and Nash Equilibrium

For "imperfect information" games, improving the algorithm of artificial intelligence is to allow the application to play equilibrium games, which determines the next step by balancing risks and benefits to achieve the perfect state in Nash equilibrium.

When strategic decisions need to be made based on "imperfect information", the use of Nash equilibrium may provide the optimal solution.

Related terms: game theory, non-equilibrium game