Abstract Probabilistic Automata

Benoît Delahaye, Joost-Pieter Katoen, Kim Guldstrand Larsen, Axel Legay, Mikkel Larsen Pedersen, Falak Sher, Andrzej Wasowski

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

Abstract

Probabilistic Automata (PAs) are a widely-recognized mathematical framework for the specification and analysis of systems with non-deterministic and stochastic behaviors. This paper proposes Abstract Probabilistic Automata (APAs), that is a novel abstraction model for PAs. In APAs uncertainty of the non-deterministic choices is modeled by may/must modalities on transitions while uncertainty of the stochastic behavior is expressed by (underspecified) stochastic constraints. We have developed a complete abstraction theory for PAs, and also propose the first specification theory for them. Our theory supports both satisfaction and refinement operators, together with classical stepwise design operators. In addition, we study the link between specification theories and abstraction in avoiding the state-space explosion problem.

Original languageEnglish
JournalInformation and Computation
Volume232
Pages (from-to)66-116
Number of pages50
ISSN0890-5401
DOIs
Publication statusPublished - Nov 2013

Keywords

  • Specification
  • Abstraction
  • Compositional reasoning
  • Interface automata
  • Probabilistic Automata

Fingerprint

Dive into the research topics of 'Abstract Probabilistic Automata'. Together they form a unique fingerprint.

Cite this