We present an application of stochastic Concurrent Constraint Programming (sCCP) for modeling biological systems. We provide a library of sCCP processes that can be used to describe straightforwardly biological networks. In the meanwhile, we show that sCCP proves to be a general and extensible framework, allowing to describe a wide class of dynamical behaviours and kinetic laws
AbstractIn this paper we present our first approach to model and verify biological systems using ntc...
The biological data regarding the signalling pathways often consider single pathways or a small numb...
We present a technique to associate to stochastic programs written in stochastic Concurrent Constrai...
We present an application of stochastic Concurrent Constraint Programming (sCCP) for modeling biolog...
We tackle the problem of relating models of systems (mainly biological systems) based on stochastic ...
AbstractWe tackle the problem of relating models of systems (mainly biological systems) based on sto...
Stochastic Concurrent Constraint Programming (sCCP) extends CCP with a stochastic semantics in conti...
We present a technique to approximate models of biological systems written in a "distilled" version ...
In this paper we focus on the relation between models of biological systems consisting of ordinary d...
We address the inclusion of stochastic information into an explicitly timed concurrent constraint pr...
We tackle the problem of relating models of systems (mainly biological systems) based on stochastic ...
Concurrent process calculi are powerful formalisms for modelling concurrent systems. The mathematica...
Abstract Concurrent process calculi are powerful formalisms for modelling concurrent systems. The...
Building on a technique for associating Hybrid Systems (HS) to stochastic programs written in a stoc...
AbstractWe present a stochastic version of Concurrent Constraint Programming (CCP), where we associa...
AbstractIn this paper we present our first approach to model and verify biological systems using ntc...
The biological data regarding the signalling pathways often consider single pathways or a small numb...
We present a technique to associate to stochastic programs written in stochastic Concurrent Constrai...
We present an application of stochastic Concurrent Constraint Programming (sCCP) for modeling biolog...
We tackle the problem of relating models of systems (mainly biological systems) based on stochastic ...
AbstractWe tackle the problem of relating models of systems (mainly biological systems) based on sto...
Stochastic Concurrent Constraint Programming (sCCP) extends CCP with a stochastic semantics in conti...
We present a technique to approximate models of biological systems written in a "distilled" version ...
In this paper we focus on the relation between models of biological systems consisting of ordinary d...
We address the inclusion of stochastic information into an explicitly timed concurrent constraint pr...
We tackle the problem of relating models of systems (mainly biological systems) based on stochastic ...
Concurrent process calculi are powerful formalisms for modelling concurrent systems. The mathematica...
Abstract Concurrent process calculi are powerful formalisms for modelling concurrent systems. The...
Building on a technique for associating Hybrid Systems (HS) to stochastic programs written in a stoc...
AbstractWe present a stochastic version of Concurrent Constraint Programming (CCP), where we associa...
AbstractIn this paper we present our first approach to model and verify biological systems using ntc...
The biological data regarding the signalling pathways often consider single pathways or a small numb...
We present a technique to associate to stochastic programs written in stochastic Concurrent Constrai...