arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 0907.4760cs.FL
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无限词上的概率自动机:表达性、效率和可判定性

Probabilistic Automata over Infinite Words: Expressiveness, Efficiency, and Decidability

Christel Baier, Nathalie Bertrand, Marcus Größer

摘要:

概率Ω自动机是无限单词的非确定性自动机的变体,其中所有选择都由概率分布解决。无限输入词的接受可以用不同的方式定义:要求(i)接受游程的概率是正的(可能语义),或(ii)几乎所有游程都接受(几乎确定语义),或(iii)接受游程的概率度量大于某个阈值(阈值语义)。接受运行的基本概念可以通过Buechi条件或其他接受条件定义为标准的omega-自动机,例如,拉宾或斯特里特条件。在本文中,我们把主要的重点放在可能的语义,并提供了一个总结的基本属性的概率欧米茄自动机有关的表达能力,效率和决策问题。

英文摘要:

Probabilistic omega-automata are variants of nondeterministic automata for infinite words where all choices are resolved by probabilistic distributions. Acceptance of an infinite input word can be defined in different ways: by requiring that (i) the probability for the accepting runs is positive (probable semantics), or (ii) almost all runs are accepting (almost-sure semantics), or (iii) the probability measure of the accepting runs is greater than a certain threshold (threshold semantics). The underlying notion of an accepting run can be defined as for standard omega-automata by means of a Buechi condition or other acceptance conditions, e.g., Rabin or Streett conditions. In this paper, we put the main focus on the probable semantics and provide a summary of the fundamental properties of probabilistic omega-automata concerning expressiveness, efficiency, and decision problems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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