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Model-checking for Resource-Bounded ATL with production and consumption of resources

Alechina, Natasha; Logan, Brian; Nguyen, Hoang Nga; Raimondi, Franco

Authors

Natasha Alechina

Brian Logan

Hoang Nga Nguyen

Franco Raimondi



Abstract

© 2017 The Authors Several logics for expressing coalitional ability under resource bounds have been proposed and studied in the literature. Previous work has shown that if only consumption of resources is considered or the total amount of resources produced or consumed on any path in the system is bounded, then the model-checking problem for several standard logics, such as Resource-Bounded Coalition Logic (RB-CL) and Resource-Bounded Alternating-Time Temporal Logic (RB-ATL) is decidable. However, for coalition logics with unbounded resource production and consumption, only some undecidability results are known. In this paper, we show that the model-checking problem for RB-ATL with unbounded production and consumption of resources is decidable but EXPSPACE-hard. We also investigate some tractable cases and provide a detailed comparison to a variant of the resource logic RAL, together with new complexity results.

Citation

Alechina, N., Logan, B., Nguyen, H. N., & Raimondi, F. (2017). Model-checking for Resource-Bounded ATL with production and consumption of resources. Journal of Computer and System Sciences, 88, 126-144. https://doi.org/10.1016/j.jcss.2017.03.008

Journal Article Type Article
Acceptance Date Aug 19, 2016
Online Publication Date Apr 4, 2017
Publication Date 2017-09
Deposit Date Sep 26, 2016
Publicly Available Date Apr 4, 2017
Journal Journal of Computer and System Sciences
Print ISSN 0022-0000
Electronic ISSN 1090-2724
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 88
Pages 126-144
DOI https://doi.org/10.1016/j.jcss.2017.03.008
Keywords model-checking, resources, coalitional ability, verification of multi-agent systems
Public URL https://nottingham-repository.worktribe.com/output/966494
Publisher URL http://www.sciencedirect.com/science/article/pii/S0022000017300363

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