Title
Abstract Probabilistic Automata.
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 behaviour 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.
Year
DOI
Venue
2013
10.1007/978-3-642-18275-4_23
Inf. Comput.
Keywords
Field
DocType
abstract probabilistic automata,novel abstraction model,stochastic constraint,stochastic behaviour,stochastic behavior,probabilistic automata,complete abstraction theory,apas uncertainty,abstract probabilistic automaton,specification theory,non-deterministic choice
Quantum finite automata,Discrete mathematics,Abstraction,Computer science,Theoretical computer science,Operator (computer programming),Probabilistic automaton
Journal
Volume
ISSN
Citations 
232
0890-5401
14
PageRank 
References 
Authors
0.65
23
7
Name
Order
Citations
PageRank
Benoît Delahaye126615.59
Joost-Pieter Katoen24444289.65
Kim G. Larsen33922254.03
Axel Legay42982181.47
Mikkel L. Pedersen5643.78
Falak Sher6231.47
Andrzej Wasowski7128260.47