Litcius/Paper detail

A Classical Search Game in Discrete Locations

Jake Clarkson, Kyle Y. Lin, K. D. Glazebrook

2022Mathematics of Operations Research11 citationsDOI

Abstract

Consider a two-person zero-sum search game between a hider and a searcher. The hider hides among n discrete locations, and the searcher successively visits individual locations until finding the hider. Known to both players, a search at location i takes t i time units and detects the hider—if hidden there—independently with probability [Formula: see text] for [Formula: see text]. The hider aims to maximize the expected time until detection, whereas the searcher aims to minimize it. We prove the existence of an optimal strategy for each player. In particular, any optimal mixed hiding strategy hides in each location with a nonzero probability, and there exists an optimal mixed search strategy that can be constructed with up to n simple search sequences. Funding: This work was supported by the Engineering and Physical Sciences Research Council [Grant EP/L015692/1] STOR-i Centre for Doctoral Training.

Topics & Concepts

MathematicsZero-sum gameStrategySimple (philosophy)CombinatoricsMathematical optimizationMathematical economicsGame theoryPhilosophyEpistemologyOptimization and Search ProblemsAuction Theory and ApplicationsAdvanced Bandit Algorithms Research