Reduction Model Checking for Multi-Agent Systems of Group Social Commitments

Innumerable industries now use multi-agent systems (MASs) in various contexts, including healthcare, security, and commercial deployments. It is challenging to select reliable business protocols for critically important safety-related (e.g., healthcare). The verification validation of applications increasingly explored concerning systems’ group social commitments. This study explains a novel extended reduction method model-check applications’ critical specification rules using action restricted computation tree logic (ARCTL). In particular, we aim conduct the process CTLGC algorithm show its effectiveness handle MASs with huge models, thus, showing importance applicability large real-world applications. To do so, need transform model an ARCTL formulas into formulas. Thus, developed was verified model-checker new symbolic verifier (NuSMV), it demonstrated safety-critical rule support provision. proposed can verify up 2.43462 × 1014 states MASs, which shows when applied