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Multi-Round Cooperative Search Games with Multiple Players
- Source :
- ICALP 2019-46th International Colloquium on Automata, Languages and Programming, ICALP 2019-46th International Colloquium on Automata, Languages and Programming, Jul 2019, Patras, Greece, Journal of Computer and System Sciences, Journal of Computer and System Sciences, 2020, 113, pp.125-149. ⟨10.1016/j.jcss.2020.05.003⟩, Journal of Computer and System Sciences, Elsevier, 2020, 113, pp.125-149. ⟨10.1016/j.jcss.2020.05.003⟩
- Publication Year :
- 2019
- Publisher :
- Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2019.
-
Abstract
- International audience; Assume that a treasure is placed in one of M boxes according to a known distribution and that k searchers are searching for it in parallel during T rounds. We study the question of how to incentivize selfish players so that group performance would be maximized. Here, this is measured by the success probability, namely, the probability that at least one player finds the treasure. We focus on congestion policies C() that specify the reward that a player receives if it is one of players that (simultaneously) find the treasure for the first time. Our main technical contribution is proving 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 , and that this is the best possible price among all symmetric reward mechanisms. For this policy we also have an explicit description of a symmetric equilibrium, which is in some sense unique, and moreover enjoys the best success probability among all symmetric profiles. For general congestion policies, we show how to polynomially find, for any θ > 0, a symmetric multiplicative (1 + θ)(1 + C(k))-equilibrium. Together with an appropriate reward policy, a central entity can suggest players to play a particular profile at equilibrium. As our main conceptual contribution, we advocate the use of symmetric equilibria for such purposes. Besides being fair, we argue that symmetric equilibria can also become highly robust to crashes of players. Indeed, in many cases, despite the fact that some small fraction of players crash (or refuse to participate), symmetric equilibria remain efficient in terms of their group performances and, at the same time, serve as approximate equilibria. We show that this principle holds for a class of games, which we call monotonously scalable games. This applies in particular to our search game, assuming the natural sharing policy, in which C() = 1//. For the exclusive policy, this general result does not hold, but we show that the symmetric equilibrium is nevertheless robust under mild assumptions.
- Subjects :
- FOS: Computer and information sciences
TheoryofComputation_MISCELLANEOUS
0106 biological sciences
Distribution (number theory)
Computer Networks and Communications
ACM: F.: Theory of Computation/F.2: ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY
0102 computer and information sciences
010603 evolutionary biology
01 natural sciences
Theoretical Computer Science
Computer Science - Computer Science and Game Theory
Price of anarchy
Fraction (mathematics)
Group performance
Mathematics
Focus (computing)
000 Computer science, knowledge, general works
[INFO.INFO-GT]Computer Science [cs]/Computer Science and Game Theory [cs.GT]
Applied Mathematics
TheoryofComputation_GENERAL
Computer Science - Distributed, Parallel, and Cluster Computing
Computational Theory and Mathematics
010201 computation theory & mathematics
Computer Science
Distributed, Parallel, and Cluster Computing (cs.DC)
Treasure
[INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
Mathematical economics
Computer Science and Game Theory (cs.GT)
Subjects
Details
- Language :
- English
- ISSN :
- 00220000 and 10902724
- Database :
- OpenAIRE
- Journal :
- ICALP 2019-46th International Colloquium on Automata, Languages and Programming, ICALP 2019-46th International Colloquium on Automata, Languages and Programming, Jul 2019, Patras, Greece, Journal of Computer and System Sciences, Journal of Computer and System Sciences, 2020, 113, pp.125-149. ⟨10.1016/j.jcss.2020.05.003⟩, Journal of Computer and System Sciences, Elsevier, 2020, 113, pp.125-149. ⟨10.1016/j.jcss.2020.05.003⟩
- Accession number :
- edsair.doi.dedup.....03a7ad743f9af4c5e113214e119d5cd6