The verification of Multi-Agent Systems (MAS) poses a significant challenge. Various approaches and methodologies exist to address this challenge; however, tools that support them are not always readily avail able. Even when such tools are accessible, they tend to be hard-coded, lacking in compositionality, and challenging to use due to a steep learning curve. In this paper, we introduce a methodology designed for the formal verification of MAS in a modular and versatile manner, along with an initial prototype, that we named VITAMIN. Unlike existing verification methodologies and frameworks for MAS, VITAMIN is constructed for easy extension to accommodate various logics (for specifying the properties to verify) and models (for deter mining on what to verify such properties).
VITAMIN: A Compositional Framework for Model Checking of Multi-Agent Systems / Ferrando, A.; Malvone, V.. - 1:(2025), pp. 648-655. (Intervento presentato al convegno 17th International Conference on Agents and Artificial Intelligence, ICAART 2025 tenutosi a prt nel 2025) [10.5220/0013349600003890].
VITAMIN: A Compositional Framework for Model Checking of Multi-Agent Systems
Ferrando A.;
2025
Abstract
The verification of Multi-Agent Systems (MAS) poses a significant challenge. Various approaches and methodologies exist to address this challenge; however, tools that support them are not always readily avail able. Even when such tools are accessible, they tend to be hard-coded, lacking in compositionality, and challenging to use due to a steep learning curve. In this paper, we introduce a methodology designed for the formal verification of MAS in a modular and versatile manner, along with an initial prototype, that we named VITAMIN. Unlike existing verification methodologies and frameworks for MAS, VITAMIN is constructed for easy extension to accommodate various logics (for specifying the properties to verify) and models (for deter mining on what to verify such properties).Pubblicazioni consigliate

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