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Synthesis for Multi-weighted Games with Branching-Time Winning Conditions

机译:具有分支时间获胜条件的多加权博弈综合

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We investigate the synthesis problem in a quantitative game-theoretic setting with branching-time objectives. The objectives are given in a recursive modal logic with semantics defined over a multi-weighted extension of a Kripke structure where each transition is annotated with multiple nonnegative weights representing quantitative resources such as discrete time, energy and cost. The objectives may express bounds on the accumulation of each resource both in a global scope and in a local scope (on subformulae) utilizing a reset operator. We show that both the model checking problem as well as the synthesis problem are decidable and that the model checking problem is EXPTIME-complete, while the synthesis problem is in 2-EXPTIME and is NEXPTIME-hard. Furthermore, we encode both problems to the calculation of maximal fixed points on dependency graphs, thus achieving on-the-fly algorithms with the possibility of early termination.
机译:我们研究具有分支时间目标的定量博弈理论环境中的综合问题。在递归模态逻辑中给出目标,该语义具有在Kripke结构的多加权扩展上定义的语义,其中,每个过渡都用表示定量资源(例如离散时间,能源和成本)的多个非负权重进行注释。目标可以使用重置运算符在全局范围内和局部范围内(子公式上)表示每种资源累积的界限。我们表明,模型检查问题和综合问题都是可以判定的,模型检查问题是EXPTIME-complete的,而综合问题是在2-EXPTIME中并且是NEXPTIME-hard。此外,我们将这两个问题编码为依赖图上最大不动点的计算,从而实现了具有提前终止可能性的实时算法。

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