Tipsy cop and tipsy robber: collisions of biased random walks on graphs
Pamela E. Harris, Erik Insko, Florian Lehner

TL;DR
This paper studies a variant of the cop and robber game on graphs where both players move randomly or strategically, analyzing their behaviors on infinite grids and trees to understand pursuit dynamics under randomness.
Contribution
It introduces a new interpretation of tipsiness affecting both players and analyzes strategies on infinite graphs, expanding understanding of pursuit-evasion under probabilistic moves.
Findings
Strategies for cop and robber on infinite grids and trees
Impact of tipsy moves on pursuit success
Characterization of movement patterns in probabilistic settings
Abstract
Introduced by Harris, Insko, Prieto Langarica, Stoisavljevic, and Sullivan, the \emph{tipsy cop and drunken robber} is a variant of the cop and robber game on graphs in which the robber simply moves randomly along the graph, while the cop moves directed towards the robber some fixed proportion of the time and randomly the remainder. In this article, we adopt a slightly different interpretation of tipsiness of the cop and robber where we assume that in any round of the game there are four possible outcomes: a sober cop move, a sober robber move, a tipsy (uniformly random) move by the cop, and a tipsy (uniformly random) move by the robber. We study this tipsy cop and tipsy robber game on the infinite grid graph and on certain families of infinite trees including -regular trees %infinite binary trees with an infinite path rooted at every vertex, and -regular trees rooted to…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Mathematical and Theoretical Epidemiology and Ecology Models · Game Theory and Applications
