Hiding actions in multi-player games

Vadim Malvone, Aniello Murano, Loredana Sorrentino

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In the game-Theoretic approach to reasoning about multi-Agent systems, imperfect information plays a key role. It requires that players act in accordance with the information available to them. The complexity of deciding games that have imperfect information is generally worse than those that do not have imperfect information, and is easily undecidable. In many real-life scenarios, however, we just have to deal with very restricted forms of imperfect information and limited interactions among players. In these settings, the challenge is to come up with elementary decision procedures, as we do. We study multi-player concurrent games where (i) Player0's objective is to reach a target W, and (ii) the opponents are trying to stop this but have partial observation about Player0's actions. We study the problem of deciding whether the opponents can prevent Player0 to reach W, by beating every Player0's strategy. We show, using an automata-Theoretic approach that, assuming the opponents have the same partial observation and play under uniformity, the problem is in ExpTime.

Original languageEnglish
Title of host publication16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
EditorsSanmay Das, Edmund Durfee, Kate Larson, Michael Winikoff
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages1205-1213
Number of pages9
ISBN (Electronic)9781510855076
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017 - Sao Paulo, Brazil
Duration: 8 May 201712 May 2017

Publication series

NameProceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Volume2
ISSN (Print)1548-8403
ISSN (Electronic)1558-2914

Conference

Conference16th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2017
Country/TerritoryBrazil
CitySao Paulo
Period8/05/1712/05/17

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