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Stackelberg vs. Nash in Security Games: Interchangeably, Equivalence, and Uniqueness

机译:Stackelberg与纳什在安全游戏中:互换,等价和唯一性

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There has been significant recent interest in game theoretic approaches to security, with much of the recent research focused on utilizing the leader-follower Stackelberg game model; for example, these games are at the heart of major applications such as the ARMOR program deployed for security at the LAX airport since 2007 and the IRIS program in use by the US Federal Air Marshals (FAMS). The foundational assumption for using Stackelberg games is that security forces (leaders), acting first, commit to a randomized strategy; while their adversaries (followers) choose their best response after surveillance of this randomized strategy. Yet, in many situations, the followers may act without observation of the leader's strategy, essentially converting the game into a simultaneous-move game model. Previous work fails to address how a leader should compute her strategy given this fundamental uncertainty about the type of game faced. Focusing on the complex games that are directly inspired by real-world security applications, the paper provides four contributions in the context of a general class of security games. First, exploiting the structure of these security games, the paper shows that the Nash equilibria in security games are interchangeable, thus alleviating the equilibrium selection problem. Second, resolving the leader's dilemma, it shows that under a natural restriction on security games, any Stackelberg strategy is also a Nash equilibrium strategy; and furthermore, the solution is unique in a class of real-world security games of which ARMOR is a key exemplar. Third, when faced with a follower that can attack multiple targets, many of these properties no longer hold. Fourth, our experimental results emphasize positive properties of games that do not fit our restrictions. Our contributions have major implications for the real-world applications.
机译:近期对安全的博弈理论方法有重要兴趣,最近的大部分研究都集中在利用领导者 - 追随者Stackelberg游戏模型;例如,这些游戏处于主要应用的核心,例如自2007年以来为拉克斯机场部署安全的装甲计划,以及美国联邦空中军团(FAMS)使用的虹膜计划。使用Stackelberg游戏的基础假设是安全部队(领导者),首先行动,提交随机策略;虽然他们的对手(追随者)在这种随机战略监测后选择他们的最佳反应。然而,在许多情况下,追随者可以在没有观察领导者的策略的情况下,基本上将游戏转化为同时移动游戏模型。以前的工作未能解决领导者如何计算她的策略,因为这种基本的不确定性面临的游戏类型。专注于由现实世界安全申请直接启发的复杂游戏,本文在一般的安全游戏的背景下提供了四个贡献。首先,利用这些安全游戏的结构,纸质表明,安全游戏中的纳什均衡是可互换的,从而减轻了均衡选择问题。其次,解决领导者的困境,它表明,在安全游戏的自然限制下,任何Stackelberg策略也是纳什均衡战略;此外,该解决方案在一类现实世界安全游戏中是独一无二的,其中盔甲是一个关键的示范。第三,当面对可以攻击多个目标的追随者时,这些属性中的许多属性不再持有。第四,我们的实验结果强调了不符合我们限制的游戏的积极性质。我们的贡献对现实世界的应用具有重大影响。

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