@inproceedings{3049b2bde7ab4d9f865cae2e1e2a8ffc,
title = "Strategy RV: A tool to approximate ATL model checking under imperfect information and perfect recall",
abstract = "We present Strategy RV, a tool that allows to approximate the verification of Alternating-time Temporal Logic under imperfect information and perfect recall, which is known to be undecidable, by using Runtime Verification. The tool uses an interface to enter the game model and the specifications and to provide results. We test Strategy RV in a variant of the Curiosity rover scenario and provide some experimental results.",
keywords = "ATL Model Checking, Imperfect Information, Perfect Recall Strategies, Runtime Verification",
author = "Angelo Ferrando and Vadim Malvone",
note = "Publisher Copyright: {\textcopyright} 2021 International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.; 20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021 ; Conference date: 03-05-2021 Through 07-05-2021",
year = "2021",
month = jan,
day = "1",
language = "English",
series = "Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS",
publisher = "International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)",
pages = "1752--1754",
booktitle = "20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021",
}