Treffer: Stochastic transition systems for continuous state spaces and non-determinism
Title:
Stochastic transition systems for continuous state spaces and non-determinism
Source:
FOSSACS 2005 : foundations of software science and computation structures (Edinburgh, 4-8 April 2005)Lecture notes in computer science. :125-139
Publisher Information:
Berlin: Springer, 2005.
Publication Year:
2005
Physical Description:
print, 24 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Génie logiciel, Software engineering, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Automate, Automaton, Autómata, Bisimulation, Bisimulación, Développement logiciel, Software development, Desarrollo logicial, Espace probabilité, Probability space, Espacio probabilidad, Espace état, State space, Espacio estado, Etat transition, Transition state, Estado transitorio, Modélisation, Modeling, Modelización, Méthode espace état, State space method, Método espacio estado, Non déterminisme, Non determinism, No determinismo, Ordonnancement, Scheduling, Reglamento, Ramification, Branching, Ramificación, Système incertain, Uncertain system, Sistema incierto, Système non déterministe, Non deterministic system, Sistema no determinista, Système stochastique, Stochastic system, Sistema estocástico, Système transition, Transition system, Sistema transición
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
School of Computer Science, The University of Birmingham, Birmingham B15 2TT, United Kingdom
Dipartimento di Informatica, Università di Verona Strada Le Grazie 15, Ca' Vignal 2, 37134 Verona, Italy
Dipartimento di Informatica, Università di Verona Strada Le Grazie 15, Ca' Vignal 2, 37134 Verona, Italy
ISSN:
0302-9743
Rights:
Copyright 2005 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.16895179
Database:
PASCAL Archive
Weitere Informationen
We study the interaction between non-deterministic and probabilistic behaviour in systems with continuous state spaces, arbitrary probability distributions and uncountable branching. Models of such systems have been proposed previously. Here, we introduce a model that extends probabilistic automata to the continuous setting. We identify the class of schedulers that ensures measurability properties on executions, and show that such measurability properties are preserved by parallel composition. Finally, we demonstrate how these results allow us to define an alternative notion of weak bisimulation in our model.