Model checking

MCLab: Model Checking Lab

MCLab: Model Checking Lab

Our primary research activity focuses on AI and Model Checking based algorithms and tools for the automatic design and verification of mission or safety-critical systems with an emphasis on intelligent or autonomous systems.

 

URL: http://mclab.di.uniroma1.it

MCLab: Model Checking Lab

MCLab: Model Checking Lab

Our primary research activity focuses on AI and Model Checking based algorithms and tools for the automatic design and verification of mission or safety-critical systems with an emphasis on intelligent or autonomous systems.

 

URL: http://mclab.di.uniroma1.it

MCLab: Model Checking Lab

MCLab: Model Checking Lab

Our primary research activity focuses on AI and Model Checking based algorithms and tools for the automatic design and verification of mission or safety-critical systems with an emphasis on intelligent or autonomous systems.

 

URL: http://mclab.di.uniroma1.it

MCLab: Model Checking Lab

MCLab: Model Checking Lab

Our primary research activity focuses on AI and Model Checking based algorithms and tools for the automatic design and verification of mission or safety-critical systems with an emphasis on intelligent or autonomous systems.

 

URL: http://mclab.di.uniroma1.it

MCLab: Model Checking Lab

MCLab: Model Checking Lab

Our primary research activity focuses on AI and Model Checking based algorithms and tools for the automatic design and verification of mission or safety-critical systems with an emphasis on intelligent or autonomous systems.

 

URL: http://mclab.di.uniroma1.it

In silico clinical trials through AI and statistical model checking

A Virtual Patient (VP) is a computational model accounting for individualised (patho-) physiology and Pharmaco-Kinetics/Dynamics of relevant drugs. Availability of VPs is among the enabling technology for In Silico Clinical Trials. Here we shortly outline the state of the art as for VP generation and summarise our recent work on Artificial Intelligence (AI) and Statistical Model Checking based generation of VPs.

An application of parallel satisfiability solving to the verification of complex embedded systems

Model checking has reached a maturity level that allows its techniques to be applied to the verification of industrial systems. Several algorithms and methods have been proposed to increase its effectiveness to tackle models of increasing complexity. In this chapter we present an application of Parallel Satisfiability Solving to the verification of embedded control systems. The adopted toolchain is part of the Formal Specs Verifier framework for the formal verification of Simulink/Stateflow models.

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