Defines the first stochastic semantics for TAPNs and implements SMC algorithms in TAPAAL, with a proof of well-behaved semantics and case-study demonstrations.
Kwiatkowska, Gethin Norman, and David Parker
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The authors define semantic lifting and semantic reflection for the small language SMOL, formalize its operational semantics and type system, and demonstrate it on a geological modelling case study with an open-source implementation.
Introduces an L*-based active learning algorithm for deterministic MDPs that uses trace sampling to infer complete models including states and outperforms passive methods on accuracy with equal data.
Describes Learn-Heptagon, a web application for writing, simulating, and verifying Lustre programs, together with the lesson plan used to teach it to engineering students.
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TAPAAL SMC: Statistical Model Checking of Stochastic Timed-Arc Petri Nets
Defines the first stochastic semantics for TAPNs and implements SMC algorithms in TAPAAL, with a proof of well-behaved semantics and case-study demonstrations.