This study provides a model of cyber deception with asymmetric recognition represented by private beliefs. Signaling games, which are often used in existing works, are built on the implicit premise that the player's belief is public information. However, this assumption, which leads to symmetric recognition, is unrealistic in adversarial decision making. For precise evaluation of risks arising from cognitive gaps, this paper proposes epistemic signaling games based on the Mertens-Zamir model, which explicitly quantifies players' asymmetric recognition. Equilibria of the games are analytically characterized, and it is found that distinct equilibria are obtained depending on the quantity of cognitive gap. Numerical examples demonstrate analysis using the proposed model.
翻译:本研究报告提供了一种以私人信仰为代表的非对称识别的网络欺骗模式。信号游戏经常用于现有作品,其基础是玩家的信仰是公共信息这一隐含的前提。然而,这一导致对称承认的假设在对抗性决策中是不现实的。为准确评估认知差距引起的风险,本文件建议根据默滕斯-扎米尔模型(Mertens-Zamir模型,该模型明确量化了玩家的非对称识别)进行隐含的信号游戏。游戏的平衡具有分析性特征,并发现根据认知差距的数量获得了不同的平衡。数字实例展示了使用拟议模型的分析。