In logics for strategic reasoning the main challenge is represented by their verification in contexts of imperfect information and perfect recall strategies. In this work, we show a technique to approximate the verification of Alternating-time Temporal Logic (ATL∗) under imperfect information and perfect recall, which is known to be undecidable. Given a model M and a formula φ, we propose a verification procedure that generates sub-models of M in which each sub-model M' satisfies a sub-formula φ' of φ and the verification of φ' in M' is decidable. Then, we use CTL∗ model checking to provide a verification result of φ on M. We prove that our procedure is sound and in the same complexity class of ATL∗ model checking under perfect information and perfect recall. Moreover, we present a tool that uses our procedure and provide experimental results.
Towards the Verification of Strategic Properties in Multi-Agent Systems with Imperfect Information / Ferrando, Angelo; Malvone, Vadim. - 2023-:(2023), pp. 793-801. (Intervento presentato al convegno 22nd International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2023 tenutosi a Londra nel 29/05/2023) [10.5555/3545946.3598713].
Towards the Verification of Strategic Properties in Multi-Agent Systems with Imperfect Information
Angelo Ferrando;
2023
Abstract
In logics for strategic reasoning the main challenge is represented by their verification in contexts of imperfect information and perfect recall strategies. In this work, we show a technique to approximate the verification of Alternating-time Temporal Logic (ATL∗) under imperfect information and perfect recall, which is known to be undecidable. Given a model M and a formula φ, we propose a verification procedure that generates sub-models of M in which each sub-model M' satisfies a sub-formula φ' of φ and the verification of φ' in M' is decidable. Then, we use CTL∗ model checking to provide a verification result of φ on M. We prove that our procedure is sound and in the same complexity class of ATL∗ model checking under perfect information and perfect recall. Moreover, we present a tool that uses our procedure and provide experimental results.Pubblicazioni consigliate
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