English

A Classical Search Game in Discrete Locations

Machine Learning 2021-03-18 v1 Computer Science and Game Theory Machine Learning Optimization and Control

Abstract

Consider a two-person zero-sum search game between a hider and a searcher. The hider hides among nn discrete locations, and the searcher successively visits individual locations until finding the hider. Known to both players, a search at location ii takes tit_i time units and detects the hider -- if hidden there -- independently with probability qiq_i, for i=1,,ni=1,\ldots,n. The hider aims to maximize the expected time until detection, while the searcher aims to minimize it. We prove the existence of an optimal strategy for each player. In particular, the hider's optimal mixed strategy hides in each location with a nonzero probability, and the searcher's optimal mixed strategy can be constructed with up to nn simple search sequences. We develop an algorithm to compute an optimal strategy for each player, and compare the optimal hiding strategy with the simple hiding strategy which gives the searcher no location preference at the beginning of the search.

Cite

@article{arxiv.2103.09310,
  title  = {A Classical Search Game in Discrete Locations},
  author = {Jake Clarkson and Kyle Y. Lin and Kevin D. Glazebrook},
  journal= {arXiv preprint arXiv:2103.09310},
  year   = {2021}
}

Comments

55 pages, 2 figures

R2 v1 2026-06-24T00:15:10.907Z