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How to Learn a Model Checker
[article]
2017
arXiv
pre-print
We show how machine-learning techniques, particularly neural networks, offer a very effective and highly efficient solution to the approximate model-checking problem for continuous and hybrid systems, a solution where the general-purpose model checker is replaced by a model-specific classifier trained by sampling model trajectories. To the best of our knowledge, we are the first to establish this link from machine learning to model checking. Our method comprises a pipeline of analysis
arXiv:1712.01935v1
fatcat:466w5f2y5fd6jam2q3birhlfpa