将广泛形式游戏转化为具有代理的开放式游戏

Matteo Capucci, Neil Ghani, J. Ledent, F. Forsberg
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引用次数: 12

摘要

我们展示了开放博弈涵盖了具有完全信息和不完全信息的广泛形式博弈。这样做会迫使我们解决开放游戏的两个当前弱点:在开放游戏中缺乏玩家及其代理的概念,以及缺乏选择操作者。使用前者,我们构建后者,这些选择算子包含了之前提出的开放博弈算子,从而朝着博弈算子的核心、规范和人体工程学微积分的方向发展。总的来说,这些创新提高了开放游戏的组合水平,并展示了它们的表现力。左边的博弈有三个参与者,每个人做一个决定。策略轮廓(L, L, L)是这个博弈的纳什均衡,它产生效用(1,3,1)。右边的博弈只有两个参与人,p1做两个决定。在第二个博弈中,((L, L), L)不是纳什均衡因为p 1可以将策略改为((R, R), L)并获得更好的回报。在第一个博弈中,尽管p 1和p 3总是得到相同的奖励,但他们是不同的参与者,因此不能同样地协调改变策略。
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Translating Extensive Form Games to Open Games with Agency
We show open games cover extensive form games with both perfect and imperfect information. Doing so forces us to address two current weaknesses in open games: the lack of a notion of player and their agency within open games, and the lack of choice operators. Using the former we construct the latter, and these choice operators subsume previous proposed operators for open games, thereby making progress towards a core, canonical and ergonomic calculus of game operators. Collectively these innovations increase the level of compositionality of open games, and demonstrate their expressiveness. The game on the left has three players, each of them making one decision. The strategy profile ( L , L , L ) is a Nash equilibrium of this game, which yields the utility ( 1 , 3 , 1 ) . The game on the right has only two players, with p 1 making two decisions. In this second game, (( L , L ) , L ) is not a Nash equilibrium because p 1 can change strategy to (( R , R ) , L ) and get a better reward. In the first game, even though p 1 and p 3 always get the same reward, they are different players and so cannot similarly coordinate changes to their strategies.
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