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A counter abstraction technique for verifying properties of probabilistic swarm systems
Title: | A counter abstraction technique for verifying properties of probabilistic swarm systems |
Authors: | Lomuscio, A Pirovano, E |
Item Type: | Journal Article |
Abstract: | We introduce a semantics for reasoning about probabilistic multi-agent systems in which the number of participants is not known at design-time. We define the parameterised model checking problem against PLTL specifications for this semantics, and observe that this is undecidable in general. Nonetheless, we develop a partial decision procedure for it based on counter abstraction. We prove the correctness of this procedure, and present an implementation of it. We then use our implementation to verify a number of example scenarios from swarm robotics and other settings. |
Issue Date: | Apr-2022 |
Date of Acceptance: | 20-Jan-2022 |
URI: | http://hdl.handle.net/10044/1/95832 |
DOI: | 10.1016/j.artint.2022.103666 |
ISSN: | 0004-3702 |
Publisher: | Elsevier BV |
Start Page: | 103666 |
End Page: | 103666 |
Journal / Book Title: | Artificial Intelligence |
Volume: | 305 |
Copyright Statement: | © 2022 Elsevier B.V. All rights reserved. |
Sponsor/Funder: | Royal Academy Of Engineering |
Funder's Grant Number: | CIET 1718/26 |
Keywords: | Artificial Intelligence & Image Processing 0801 Artificial Intelligence and Image Processing 0802 Computation Theory and Mathematics 1702 Cognitive Sciences |
Publication Status: | Published online |
Article Number: | 103666 |
Online Publication Date: | 2022-01-24 |
Appears in Collections: | Computing |