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Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness

机译:安全游戏中的stackelberg vs. Nash:对扩展的调查   可互换性,对等性和唯一性

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摘要

There has been significant recent interest in game-theoretic approaches tosecurity, with much of the recent research focused on utilizing theleader-follower Stackelberg game model. Among the major applications are theARMOR program deployed at LAX Airport and the IRIS program in use by the USFederal Air Marshals (FAMS). The foundational assumption for using Stackelberggames is that security forces (leaders), acting first, commit to a randomizedstrategy; while their adversaries (followers) choose their best response aftersurveillance of this randomized strategy. Yet, in many situations, a leader mayface uncertainty about the follower's surveillance capability. Previous workfails to address how a leader should compute her strategy given suchuncertainty. We provide five contributions in the context of a general class ofsecurity games. First, we show that the Nash equilibria in security games areinterchangeable, thus alleviating the equilibrium selection problem. Second,under a natural restriction on security games, any Stackelberg strategy is alsoa Nash equilibrium strategy; and furthermore, the solution is unique in a classof security games of which ARMOR is a key exemplar. Third, when faced with afollower that can attack multiple targets, many of these properties no longerhold. Fourth, we show experimentally that in most (but not all) games where therestriction does not hold, the Stackelberg strategy is still a Nash equilibriumstrategy, but this is no longer true when the attacker can attack multipletargets. Finally, as a possible direction for future research, we propose anextensive-form game model that makes the defender's uncertainty about theattacker's ability to observe explicit.
机译:最近人们对安全性的博弈论方法产生了极大的兴趣,最近的许多研究都集中在利用领导者跟从者Stackelberg游戏模型上。主要应用包括在洛杉矶国际机场部署的ARMOR程序和美国联邦空军元帅(FAMS)使用的IRIS程序。使用Stackelberggames的基本假设是,首先采取行动的安全部队(领导者)承诺采取随机化策略。而他们的对手(追随者)则在对这种随机策略进行监视之后选择其最佳反应。然而,在许多情况下,领导者可能会面临有关跟随者的监视能力的不确定性。先前的工作未能解决在存在这种不确定性的情况下领导者应如何计算其策略。在一般类的安全游戏中,我们提供了五种贡献。首先,我们证明了安全博弈中的纳什均衡是可互换的,从而减轻了均衡选择问题。其次,在对安全博弈的自然限制下,任何斯塔克尔伯格策略也是纳什均衡策略;而且,该解决方案在一类以ARMOR为主要范例的安全游戏中是独一无二的。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成立。第四,我们通过实验证明,在大多数(但不是全部)没有限制的游戏中,Stackelberg策略仍然是纳什均衡策略,但是当攻击者可以攻击多个目标时,这种情况就不再成立。最后,作为未来研究的可能方向,我们提出了一种扩展形式的博弈模型,该模型使防御者对于攻击者观察能力的不确定性变得明确。

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