Time-delayed Cops and Robbers

We consider a variation of the Cops and Robbers game in which the cops do not have perfect information; the information they receive regarding the robber’s position is delayed by one round. Our parameter of interest is the time-delayed cop number of a graph G , the minimum number of cops that suffice to guarantee a win on G . We present a variety of results on this parameter, including general bounds, and make comparisons to the cop numbers of known related variants of the original game. We have particular interest in graph products, Meyniel-type bounds, and cop density.

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Institutions

Publication Details

Journal
Discrete Applied Mathematics
Published
2024-10-16
DOI
https://doi.org/10.1016/j.dam.2024.09.030
Citations
1
Primary Topic
Advanced Graph Theory Research
Type
article
Field-Weighted Citation Impact
0.36

Funders

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article

Time-delayed Cops and Robbers

Melissa A. Huggan, Trent G. Marbach, Nancy E. Clarke, Danielle Cox et al.
1 citations
Discrete Applied Mathematics
Advanced Graph Theory Research
0.36
article

Time-delayed Cops and Robbers

Melissa A. Huggan, Trent G. Marbach, Nancy E. Clarke, Danielle Cox, Svenja Huntemann
article en
1 citations

Abstract

We consider a variation of the Cops and Robbers game in which the cops do not have perfect information; the information they receive regarding the robber’s position is delayed by one round. Our parameter of interest is the time-delayed cop number of a graph G , the minimum number of cops that suffice to guarantee a win on G . We present a variety of results on this parameter, including general bounds, and make comparisons to the cop numbers of known related variants of the original game. We have particular interest in graph products, Meyniel-type bounds, and cop density.

Discrete Applied MathematicsVol. 360
Mount Saint Vincent University (CA), Vancouver Island University (CA), Toronto Metropolitan University (CA), Acadia University (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 35%
Advanced Graph Theory Research
0.36
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