信息不对称条件下反应性游戏的机会综合

A. Kulkarni, Jie Fu
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引用次数: 4

摘要

反应性合成[1]用于在动态的、潜在对抗的环境中,针对给定的线性时序逻辑(LTL)规范,合成可证明正确的策略(控制器)。反应性合成的核心思想是将受控代理(称为机器人)与其动态和不可控环境之间的交互建模为双人回合制零和游戏。特别是,玩家的布尔回报是由时间逻辑公式指定的[2],这是一种丰富的语言,可以表达诸如安全性、活动力、稳定性和时间扩展目标等属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Opportunistic Synthesis in Reactive Games under Information Asymmetry
Reactive synthesis [1]is used to synthesize a provablycorrect strategy (controller) with respect to a given Linear Temporal Logic (LTL) specification in a dynamic, potentially adversarial environment. The core idea of reactive synthesis is to model the interaction between a controlled agent (called the robot) and its dynamic and uncontrollable environment as a two-player turn-based zero-sum game. In particular, players’ Boolean payoffs are specified by temporal logic formulas [2]–a rich language that can expressive properties such as safety, liveness, stability, and temporally extended goals.
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