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On the Inducibility of Stackelberg Equilibrium for Security Games

机译:论安全游戏Stackelberg均衡的诱导性

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摘要

Strong Stackelberg equilibrium (SSE) is the standard solution concept of Stackelberg security games. As opposed to the weak Stackelberg equilibrium (WSE), the SSE assumes that the follower breaks ties in favor of the leader and this is widely acknowledged and justified by the assertion that the defender can often induce the attacker to choose a preferred action by making an infinitesimal adjustment to her strategy. Unfortunately, in security games with resource assignment constraints, the assertion might not be valid; it is possible that the defender cannot induce the desired outcome. As a result, many results claimed in the literature may be overly optimistic. To remedy, we first formally define the utility guarantee of a defender strategy and provide examples to show that the utility of SSE can be higher than its utility guarantee. Second, inspired by the analysis of leader's payoff by Von Stengel and Zamir (2004), we provide the solution concept called the inducible Stackelberg equilibrium (ISE), which owns the highest utility guarantee and always exists. Third, we show the conditions when ISE coincides with SSE and the fact that in general case, SSE can be extremely worse with respect to utility guarantee. Moreover, introducing the ISE does not invalidate existing algorithmic results as the problem of computing an ISE polynomially reduces to that of computing an SSE. We also provide an algorithmic implementation for computing ISE, with which our experiments unveil the empirical advantage of the ISE over the SSE.
机译:强大的Stackelberg Equilibrium(SSE)是Stackelberg安全游戏的标准解决方案概念。与弱的Stackelberg均衡(WSE)相反,SSE假设从动威力突破领导者的关系,这被广泛承认并由断言常常诱导攻击者通过制作选择一个首选行动来促使攻击者的主张。对她的策略无限调整。不幸的是,在具有资源分配约束的安全游戏中,断言可能无效;后卫可能无法诱导所需的结果。因此,文献中声称的许多结果可能过于乐观。要解决,我们首先正式定义了防守战略的实用程序保证,并提供了例子表明SSE的效用可以高于其实用性保证。其次,通过Von Stengel和Zamir(2004)的领导者的支付分析,我们提供了称为诱导型Stackelberg均衡(ISE)的解决方案概念,该概念拥有最高的实用程序保证并始终存在。第三,我们展示了ISE与SSE一致的条件以及一般情况下的事实,SSE对于实用性保证,SSE可能非常差。此外,介绍ISE不会使现有的算法结果无效,因为计算ISE的问题多项式地减少到计算SSE的问题。我们还提供了用于计算ISE的算法实现,我们的实验推出了在SSE上的ise的经验优势。

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