上海科技大学知识管理系统

Risk analysis and fault management in Multi-Agent Systems (MAS) within safety-critical domains present unique challenges due to partial observability, necessitating multiple model checking iterations under varied configurations and parameters. 
Traditional model checking tools are typically constrained by their inability to consider multiple scenarios simultaneously or return more than one execution trace. 
To address these challenges, we introduce PyUPPAAL, a Python toolbox that extends the functionalities of model checker UPPAAL.
It provides streamlined capabilities for model modification, monitor construction, and information extraction from counter-examples. 
It also offers advanced features for in-depth risk analysis and fault management, facilitating a more iterative and insightful verification process. 
This toolbox enhances the model-checking landscape by providing a user-friendly, versatile, and powerful solution for system reliability assessment.