AbstractLabelled Markov processes (LMPs) are labelled transition systems in which each transition has an associated probability. In this paper we present a universal LMP as the spectrum of a commutative C*-algebra consisting of formal linear combinations of labelled trees. This yields a simple trace-tree semantics for LMPs that is fully abstract with respect to probabilistic bisimilarity. We also consider LMPs with distinguished entry and exit points as stateful stochastic relations. This allows us to define a category GSRel of generalized stochastic relations, which has measurable spaces as objects and LMPs as morphisms. Our main result in this context is to provide a predicate-transformer duality for GSRel that generalises Kozen's duality...
We develop a theory of probabilistic continuous processes that is meant ultimately to be part of an ...
Labeled state-to-function transition systems, FuTS for short, admit multiple transition schemes fro...
This paper presents the theoretical underpinning of a model for symbolically representing probabilis...
Labelled Markov processes (LMPs) are labelled transition systems in which each transition has an ass...
AbstractLabelled Markov processes (LMPs) are labelled transition systems in which each transition ha...
Coalgebras of measurable spaces are of interest in probability theory as a formalization of Labelled...
AbstractThis paper presents the theoretical underpinning of a model for symbolically representing pr...
In this paper we introduce a new class of labelled transition systems - Labelled Markov Processes - ...
We discuss congruences for stochastic relations, stressing the equivalence of smooth equivalence rel...
AbstractIn this paper we introduce a new class of labelled transition systems—labelled Markov proces...
In this paper we introduce a new class of labeled transition systems - Labeled Markov Processes - an...
In this paper we introduce a new class of labelled tran-sition systems- Labelled Markov Processes- a...
AbstractWe introduce a new notion of bisimulation, called event bisimulation on labelled Markov proc...
AbstractIn this paper we introduce the calculus of interactive generalized semi-Markov processes (IG...
We introduce a notion of bisimulation on labelled Markov Processes over generic measurable spaces in...
We develop a theory of probabilistic continuous processes that is meant ultimately to be part of an ...
Labeled state-to-function transition systems, FuTS for short, admit multiple transition schemes fro...
This paper presents the theoretical underpinning of a model for symbolically representing probabilis...
Labelled Markov processes (LMPs) are labelled transition systems in which each transition has an ass...
AbstractLabelled Markov processes (LMPs) are labelled transition systems in which each transition ha...
Coalgebras of measurable spaces are of interest in probability theory as a formalization of Labelled...
AbstractThis paper presents the theoretical underpinning of a model for symbolically representing pr...
In this paper we introduce a new class of labelled transition systems - Labelled Markov Processes - ...
We discuss congruences for stochastic relations, stressing the equivalence of smooth equivalence rel...
AbstractIn this paper we introduce a new class of labelled transition systems—labelled Markov proces...
In this paper we introduce a new class of labeled transition systems - Labeled Markov Processes - an...
In this paper we introduce a new class of labelled tran-sition systems- Labelled Markov Processes- a...
AbstractWe introduce a new notion of bisimulation, called event bisimulation on labelled Markov proc...
AbstractIn this paper we introduce the calculus of interactive generalized semi-Markov processes (IG...
We introduce a notion of bisimulation on labelled Markov Processes over generic measurable spaces in...
We develop a theory of probabilistic continuous processes that is meant ultimately to be part of an ...
Labeled state-to-function transition systems, FuTS for short, admit multiple transition schemes fro...
This paper presents the theoretical underpinning of a model for symbolically representing probabilis...