Min-max theorem for the game of Cops and Robber on geodesic spaces
Bojan Mohar

TL;DR
This paper extends the Cops and Robber pursuit-evasion game to geodesic spaces, establishing a min-max theorem by approximating the game with finite discrete versions, thus bridging discrete and continuous settings.
Contribution
It introduces a new formulation of the Cops and Robber game on geodesic spaces and proves a min-max theorem through finite game approximations.
Findings
Game can be approximated by finite discrete games
Min-max theorem established for geodesic spaces
Framework bridges discrete graphs and continuous spaces
Abstract
The game of Cops and Robber is traditionally played on a finite graph. The purpose of this note is to introduce and analyze the game that is played on an arbitrary geodesic space. The game is defined in such a way that it preserves the beauty and power of discrete games played on graphs and also keeps the specialties of the pursuit-evasion games played on polyhedral complexes. It is shown that the game can be approximated by finite games of discrete type and as a consequence a min-max theorem is obtained.
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
TopicsArtificial Intelligence in Games · Topological and Geometric Data Analysis · Guidance and Control Systems
