可逆确定性系统的pspace -完备性

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Erik D. Demaine, Robert A. Hearn, Dylan Hendrickson, Jayson Lynch
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引用次数: 0

摘要

我们证明了几个可逆的、完全确定的系统的pspace -完备性。在核心,我们为这样的证明开发了一个框架(基于筑地和萩原的结果以及通过小工具进行运动规划的框架),表明任何可以实现三个基本小工具的系统都是pspace完备的。然后,我们将此框架应用于四个不同的系统,以展示其多功能性。首先,我们证明了确定性约束逻辑是pspace完备的,修正了2008年之前论证中的一个错误。其次,我们对40年前Fredkin和Toffoli的可逆“台球”模型给出了新的pspace -硬度证明,新建立了只有两个球同时运动时的硬度。第三,我们用任何可逆的确定性交互(公式:见文本)-隧道小工具和“顺时针旋转”小工具(分支走廊的零参与者模拟)证明了零参与者运动规划的pspace -完备性。第四,我们给出了更简单的证明,证明零玩家运动规划是PSPACE-complete的,只需要一个小工具,即3-spinner。这些结果反过来使证明其他可逆确定性系统的pspace -硬度变得更加容易。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PSPACE-Completeness of Reversible Deterministic Systems
We prove PSPACE-completeness of several reversible, fully deterministic systems. At the core, we develop a framework for such proofs (building on a result of Tsukiji and Hagiwara and a framework for motion planning through gadgets), showing that any system that can implement three basic gadgets is PSPACE-complete. We then apply this framework to four different systems, showing its versatility. First, we prove that Deterministic Constraint Logic is PSPACE-complete, fixing an error in a previous argument from 2008. Second, we give a new PSPACE-hardness proof for the reversible ‘billiard ball’ model of Fredkin and Toffoli from 40 years ago, newly establishing hardness when only two balls move at once. Third, we prove PSPACE-completeness of zero-player motion planning with any reversible deterministic interacting [Formula: see text]-tunnel gadget and a ‘rotate clockwise’ gadget (a zero-player analog of branching hallways). Fourth, we give simpler proofs that zero-player motion planning is PSPACE-complete with just a single gadget, the 3-spinner. These results should in turn make it even easier to prove PSPACE-hardness of other reversible deterministic systems.
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来源期刊
International Journal of Foundations of Computer Science
International Journal of Foundations of Computer Science 工程技术-计算机:理论方法
CiteScore
1.60
自引率
12.50%
发文量
63
审稿时长
3 months
期刊介绍: The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include: - Algebraic theory of computing and formal systems - Algorithm and system implementation issues - Approximation, probabilistic, and randomized algorithms - Automata and formal languages - Automated deduction - Combinatorics and graph theory - Complexity theory - Computational biology and bioinformatics - Cryptography - Database theory - Data structures - Design and analysis of algorithms - DNA computing - Foundations of computer security - Foundations of high-performance computing
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