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Describing Average- and Longtime-Behavior by Weighted MSO Logics

机译:通过加权MSO逻辑描述平均和长期行为

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Weighted automata model quantitative aspects of systems like memory or power consumption. Recently, Chatterjee, Doyen, and Henzinger introduced a new kind of weighted automata which compute objectives like the average cost or the longtime peak power consumption. In these automata, operations like average, limit superior, limit inferior, limit average, or discounting are used to assign values to finite or infinite words. In general, these weighted automata are not semiring weighted anymore. Here, we establish a connection between such new kinds of weighted automata and weighted logics. We show that suitable weighted MSO logics and these new weighted automata are expressively equivalent, both for finite and infinite words. The constructions employed are effective, leading to decidability results for the weighted logic formulas considered.
机译:加权自动机可对系统的定量方面(例如内存或功耗)进行建模。最近,Chatterjee,Doyen和Henzinger推出了一种新型的加权自动机,可以计算诸如平均成本或长期峰值功耗之类的目标。在这些自动机中,使用诸如平均,极限上限,极限下限,极限平均值或折减之类的运算将值分配给有限或无限词。通常,这些加权自动机不再是半环加权的。在这里,我们在这种新型的加权自动机和加权逻辑之间建立了联系。我们表明,对于有限和无限单词,合适的加权MSO逻辑和这些新的加权自动机在表达上都是等效的。所采用的构造是有效的,从而导致所考虑的加权逻辑公式的可判定性结果。

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