Multi-round cooperative search games with multiple players - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Journal of Computer and System Sciences Year : 2020

Multi-round cooperative search games with multiple players

Abstract

A treasure is placed in one of M boxes according to a known distribution and k searchers are searching for it in parallel during T rounds. How can one incentivize selfish players so that the probability that at least one player finds the treasure is maximized? We focus on congestion policies $C()$ specifying the reward a player receives being one of the players that (simultaneously) find the treasure first. We prove that the exclusive policy, in which $C(1) = 1$ and $C() = 0 for > 1$, yields a price of anarchy of $(1 − (1 − 1/k) k) −1$ , which is the best among all symmetric reward policies. We advocate the use of symmetric equilibria, and show that besides being fair, they are highly robust to crashes of players. Indeed, in many cases, if some small fraction of players crash, symmetric equilibria remain efficient in terms of their group performance while also serving as approximate equilibria.
Fichier principal
Vignette du fichier
multiround_Nash.pdf (507.99 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02989497 , version 1 (07-11-2020)

Identifiers

Cite

Amos Korman, Yoav Rodeh. Multi-round cooperative search games with multiple players. Journal of Computer and System Sciences, 2020, 113, pp.125-149. ⟨10.1016/j.jcss.2020.05.003⟩. ⟨hal-02989497⟩
33 View
95 Download

Altmetric

Share

Gmail Facebook X LinkedIn More