Approximating perfect recall when model checking strategic abilities

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

Abstract

We investigate the notion of bounded recall in the context of model checking ATL* and ATL specifications in multi-agent systems with imperfect information. We present a novel three-valued semantics for ATL*, respectively ATL, under bounded recall and imperfect information, and study the corresponding model checking problems. Most importantly, we show that the three-valued semantics constitutes an approximation with respect to the traditional two-valued semantics. In the light of this we construct a sound, albeit partial, algorithm for model checking two-valued perfect recall via its approximation as three-valued bounded recall.

Original languageEnglish
Title of host publicationPrinciples of Knowledge Representation and Reasoning
Subtitle of host publicationProceedings of the 16th International Conference, KR 2018
EditorsMichael Thielscher, Francesca Toni, Frank Wolter
PublisherAAAI Press
Pages435-444
Number of pages10
ISBN (Electronic)9781577358039
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event16th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2018 - Tempe, United States
Duration: 30 Oct 20182 Nov 2018

Publication series

NamePrinciples of Knowledge Representation and Reasoning: Proceedings of the 16th International Conference, KR 2018

Conference

Conference16th International Conference on the Principles of Knowledge Representation and Reasoning, KR 2018
Country/TerritoryUnited States
CityTempe
Period30/10/182/11/18

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