Establishes a complete axiomatization for probabilistic Boolean circuits via Markov kernel semantics, using intermediate completeness theorems for partial Boolean circuits and probabilistic Boolean tapes in rig categories.
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2 Pith papers cite this work. Polarity classification is still indexing.
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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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Completeness for Probabilistic Boolean Tapes
Establishes a complete axiomatization for probabilistic Boolean circuits via Markov kernel semantics, using intermediate completeness theorems for partial Boolean circuits and probabilistic Boolean tapes in rig categories.
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Teaching Synchronous Dataflow Modelling with Learn-Heptagon
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.