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Lecture Notes in Computer Science
Formal modelling languages such as process algebras are widespread and effective tools in computational modelling. However, handling data and uncertainty in a statistically meaningful way is an open problem in formal modelling, severely hampering the usefulness of these elegant tools in many real world applications. Here we introduce ProPPA, a process algebra which incorporates uncertainty in the model description, allowing the use of Machine Learning techniques to incorporate observationaldoi:10.1007/978-3-319-10696-0_21 fatcat:vkqzg5d5dzafpoon73oi2xd4ze