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Deciding probabilistic simulation between probabilistic pushdown automata and finite-state systems

机译:确定概率下推自动机与有限状态系统之间的概率模拟

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Checking whether a pushdown automaton is simulated - in the sense of a simulation pre-order - by a finite-state automaton is EXPTIME-complete. This paper shows that the same computational complexity is obtained in a probabilistic setting. That is, the problem of deciding whether a probabilistic pushdown automaton (pPDA) is simulated by a finite Markov decision process (MDP) is EXPTIME-complete. The considered pPDA contain both probabilistic and non-deterministic branching. The EXPTIME-membership is shown by combining a partition-refinement algorithm with a tableaux system that is inspired by Stirling's technique for bisimilarity checking of ordinary pushdown automata. The hardness is obtained by exploiting the EXPTIME-hardness for the non-probabilistic case. Moreover, our decision problem is in PTIME when both the number of states of the pPDA and the number of states in the MDP are fixed. (C) 2019 Elsevier Inc. All rights reserved.
机译:检查下推自动机是否是有限状态的自动机(在仿真预购的意义上)是否已模拟为EXPTIME完成。本文表明,在概率设置中可以获得相同的计算复杂度。即,确定是否通过有限马尔可夫决策过程(MDP)模拟概率下推自动机(pPDA)的问题是EXPTIME-complete。考虑的pPDA包含概率分支和不确定分支。 EXPTIME成员资格是通过将分区细化算法与tableaux系统相结合而展示的,该系统受斯特林技术的启发,用于对普通下推自动机进行双相似性检查。通过在非概率情况下利用EXPTIME硬度来获得硬度。而且,当pPDA的状态数和MDP中的状态数都固定时,我们的决策问题就在PTIME中。 (C)2019 Elsevier Inc.保留所有权利。

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