Imperial College London

ProfessorAlessioLomuscio

Faculty of EngineeringDepartment of Computing

Professor of Safe Artificial Intelligence
 
 
 
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Contact

 

+44 (0)20 7594 8414a.lomuscio Website

 
 
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Location

 

Imperial-XTranslation & Innovation Hub BuildingWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Belardinelli:2019:10.1609/aaai.v33i01.33016030,
author = {Belardinelli, F and Lomuscio, A and Malvone, A},
doi = {10.1609/aaai.v33i01.33016030},
pages = {6030--6037},
publisher = {Association for the Advancement of Artificial Intelligence},
title = {An abstraction-based method for verifying strategic properties in multi-agent systems with imperfect information},
url = {http://dx.doi.org/10.1609/aaai.v33i01.33016030},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - CPAPER
AB - We investigate the verification of Multi-agent Systemsagainst strategic properties expressed in Alternating-timeTemporal Logic under the assumptions of imperfect informa-tion and perfect recall. To this end, we develop a three-valuedsemantics for concurrent game structures upon which we de-fine an abstraction method. We prove that concurrent gamestructures with imperfect information admit perfect informa-tion abstractions that preserve three-valued satisfaction. Fur-ther, we present a refinement procedure to deal with caseswhere the value of a specification is undefined. We illustratethe overall procedure in a variant of the Train Gate Controllerscenario under imperfect information and perfect recall.
AU - Belardinelli,F
AU - Lomuscio,A
AU - Malvone,A
DO - 10.1609/aaai.v33i01.33016030
EP - 6037
PB - Association for the Advancement of Artificial Intelligence
PY - 2019///
SP - 6030
TI - An abstraction-based method for verifying strategic properties in multi-agent systems with imperfect information
UR - http://dx.doi.org/10.1609/aaai.v33i01.33016030
UR - https://www.aaai.org/ojs/index.php/AAAI/article/view/4558
UR - http://hdl.handle.net/10044/1/66161
ER -