What is probabilistic model checking?
Probabilistic model checking is a technique for formally verifying systems that exhibit random or uncertain behavior. We represent such systems as probabilistic models, often Markov chains, where transitions between states occur with specific probabilities. Then, we use algorithms to check if certain properties, expressed in a formal language, hold for this probabilistic model. This allows us to answer questions about the likelihood of certain events or the expected performance of a system.
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