边缘周期时序图上的警察与强盗博弈

IF 1.1 3区 计算机科学 Q1 BUSINESS, FINANCE
Thomas Erlebach , Nils Morawietz , Jakob T. Spooner , Petra Wolf
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引用次数: 0

摘要

我们在一种特殊的时变图(TVG)(即边缘周期图)上引入了一个警察和一个劫匪的警察与劫匪博弈。在这些 TVG 中,每条边 e 都有一个二进制字符串 τ(e),当且仅当 τ(e) 在 tmod|τ(e)| 位置包含一个 1 时,边 e 才会在时间步长 t 出现。这种周期性可以紧凑地表示无限 TVG。我们证明,即使对于非常简单的底层图,即有向和无向循环图,决定是否存在共赢策略的问题也是 NP-困难的,并且以顶点数为参数的 W[1]-hard 问题。此外,我们还证明了这个决策问题可以在 PSPACE 中的一般边缘周期图上求解。最后,我们提出了有向或无向循环的最小长度的严格约束,以保证循环是强盗获胜的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cop and robber game on edge-periodic temporal graphs

We introduce a cops and robbers game with one cop and one robber on a special type of time-varying graphs (TVGs), namely edge-periodic graphs. These are TVGs in which, for each edge e, a binary string τ(e) is given such that the edge e is present in time step t if and only if τ(e) contains a 1 at position tmod|τ(e)|. This periodicity allows for a compact representation of infinite TVGs. We prove that even for very simple underlying graphs, i.e., directed and undirected cycles, the problem of deciding whether a cop-winning strategy exists is NP-hard and W[1]-hard parameterized by the number of vertices. Furthermore, we show that this decision problem can be solved on general edge-periodic graphs in PSPACE. Finally, we present tight bounds on the minimum length of a directed or undirected cycle that guarantees the cycle to be robber-winning.

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来源期刊
Journal of Computer and System Sciences
Journal of Computer and System Sciences 工程技术-计算机:理论方法
CiteScore
3.70
自引率
0.00%
发文量
58
审稿时长
68 days
期刊介绍: The Journal of Computer and System Sciences publishes original research papers in computer science and related subjects in system science, with attention to the relevant mathematical theory. Applications-oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. Research areas include traditional subjects such as: • Theory of algorithms and computability • Formal languages • Automata theory Contemporary subjects such as: • Complexity theory • Algorithmic Complexity • Parallel & distributed computing • Computer networks • Neural networks • Computational learning theory • Database theory & practice • Computer modeling of complex systems • Security and Privacy.
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