And this strategy is something that we call the Nash equilibrium.

这一策略就是所谓的纳什均衡。

We don't know if the process converges or if we reach Nash equilibrium.

我们不知道算法是否收敛，又或是达成纳什均衡。

And indeed, if everyone chose zero, the game would reach what's known as a Nash Equilibrium.

确实，如果每个人都选择 0，这个博弈将会达到“纳什均衡”。

And now, the first cool result is that if we run the prisoner's dilemma with two of these new LOLA agents, they quickly find the Nash equilibrium.

那么现在，第一个很酷的结果是，如果我们用两个新 LOLA 代理来进行“囚徒困境”游戏，它们很快就能发现纳什均衡。

And the final distribution is an example of a Nash equilibrium where each player knows every other players' strategy and chooses theirs accordingly.

最终分布是纳什均衡的一个例子，其中每个玩家都知道其他玩家的策略并相应地选择他们的策略。

Nash equilibrium is a state where both actors believe they have found an optimal strategy while taking into account the other actor's possible decisions, and neither of them have interest in changing their strategy.

纳什均衡是一种状态，在这种状态下，双方都认为自己找到了最优策略，同时也考虑了对方可能做出的决定，双方都无意改变自己的策略。