Nash equilibrium is a central solution concept for reasoning about self-interested agents. We address the problem of synthesizing Nash equilibria in two-player deterministic games on graphs, where players have private, partially-ordered preferences over temporal goals. Unlike prior work, which assumes preferences are common knowledge, we develop a communication protocol for equilibrium synthesis in settings where players' preferences are private information. In the protocol, players communicate to synthesize equilibria by exchanging information about when they can force desirable outcomes. We incorporate privacy by ensuring the protocol stops before enough information is revealed to expose a player's preferences. We prove completeness by showing that, when no player halts communication, the protocol either returns an equilibrium or certifies that none exists. We then prove privacy by showing that, with stopping, the messages a player sends are always consistent with multiple possible preferences and thus do not reveal some given secret regarding a player's true preference ordering. Experiments demonstrate that we can synthesize non-trivial equilibria while preserving privacy of preferences, highlighting the protocol's potential for applications in strategy synthesis with constrained information sharing.
翻译:纳什均衡是分析自利智能体行为的核心解概念。本文研究在双玩家确定性图博弈中合成纳什均衡的问题,其中玩家对时序目标具有私密且偏序的偏好。与先前假设偏好为共同知识的研究不同,我们针对玩家偏好为私有信息的情形,开发了一种用于均衡合成的通信协议。在该协议中,玩家通过交换关于何时能强制达成理想结果的信息来进行均衡合成。我们通过确保协议在暴露玩家偏好的足够信息被泄露前终止来保障隐私性。通过证明当没有玩家终止通信时,协议要么返回一个均衡,要么证明不存在均衡,我们确立了协议的完备性。随后,我们通过证明在终止机制下,玩家发送的消息始终与多种可能的偏好保持一致,从而不会泄露关于玩家真实偏好排序的特定秘密,以此验证隐私性。实验表明,我们能够在保护偏好隐私的同时合成非平凡均衡,凸显了该协议在信息共享受限的策略合成应用中的潜力。