The window mechanism, introduced by Chatterjee et al. for mean-payoff and total-payoff objectives in two-player turn-based games on graphs, refines long-term objectives with time bounds. This mechanism has proven useful in a variety of settings, and most recently in timed systems. In the timed setting, the so-called fixed timed window parity objectives have been studied. A fixed timed window parity objective is defined with respect to some time bound and requires that, at all times, we witness a time frame, i.e., a window, of size less than the fixed bound in which the smallest priority is even. In this work, we focus on the bounded timed window parity objective. Such an objective is satisfied if there exists some bound for which the fixed objective is satisfied. The satisfaction of bounded objectives is robust to modeling choices such as constants appearing in constraints, unlike fixed objectives, for which the choice of constants may affect the satisfaction for a given bound. We show that verification of bounded timed window objectives in timed automata can be performed in polynomial space, and that timed games with these objectives can be solved in exponential time, even for multi-objective extensions. This matches the complexity classes of the fixed case. We also provide a comparison of the different variants of window parity objectives.
翻译:由Chatterjee et al. 推出的窗口机制,用于在图表上双人交替游戏中的平均回报和总回报目标,在图表上双人交替游戏中改进长期目标,在一定的时间范围内改进长期目标。这个机制在各种场合和最近的定时系统中被证明有用。在时间设置中,对所谓的固定时间窗口对等目标进行了研究。一个固定的时间定时窗口对等目标在一定的时间范围内得到界定,要求我们任何时候都看到一个时间框架,即一个大小小于固定时间范围(最小优先级别在其中)的窗口。在这项工作中,我们侧重于有约束时间的窗口对等目标。如果存在某些固定目标得到满足的固定条件,这个目标就得到了实现。约束目标的满意度是模拟选择,如在一定时间范围内出现的常数,而对于固定目标的选择可能会影响对给定约束的满意度。我们显示,在固定时间范围内的定时窗口目标的核实甚至可以在多元时间空间中进行。这个目标的定时对等的定时对等级目标也能够实现。