Strategy RV: A Tool to Approximate ATL Model Checking under Imperfect Information and Perfect Recall

Angelo Ferrando (The University of Manchester), Vadim Malvone (Télécom Paris)

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.