Mixed Nondeterministic-Probabilistic Interfaces
Albert Benveniste (HYCOMES), Kim Larsen, Jean-Baptiste Raclet (IRIT)

TL;DR
This paper introduces Modal Mixed Interfaces, a new interface theory for systems with both nondeterminism and probabilistic behavior, along with a novel component model called Mixed Markov Decision Processes.
Contribution
It presents the first interface theory for mixed nondeterministic-probabilistic systems and introduces a new component model that generalizes existing models.
Findings
Defines Modal Mixed Interfaces for combined nondeterministic and probabilistic systems
Introduces Mixed Markov Decision Processes as a unifying component model
Subsumes both Markov Decision Processes and Probabilistic Automata
Abstract
Interface theories are powerful frameworks supporting incremental and compositional design of systems through refinements and constructs for conjunction, and parallel composition. In this report we present a first Interface Theor -- |Modal Mixed Interfaces -- for systems exhibiting both non-determinism and randomness in their behaviour. The associated component model -- Mixed Markov Decision Processes -- is also novel and subsumes both ordinary Markov Decision Processes and Probabilistic Automata.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFormal Methods in Verification · Advanced Software Engineering Methodologies · Petri Nets in System Modeling
