We provide Stochastic Concurrent Constraint Programming (sCCP), a stochastic process algebra based on CCP, with a semantics in terms of hybrid automata. We associate with each sCCP program both a stochastic and a non-deterministic hybrid automaton. Then, we compare such automata with the standard stochastic semantics (given by a Continuous Time Markov Chain) and the one based on ordinary differential equations, obtained by a fluid-flow approximation technique. We discuss in detail two case studies: Repressilator and the Circadian Clock, with particular regard to the robustness exhibited by the different semantic models and to the effect of discreteness in dynamical evolution of such systems
We investigate the limit behavior of a class of stochastic hybrid systems obtained by hybrid approxi...
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 provide Stochastic Concurrent Constraint Programming (sCCP), a stochastic process algebra...
We provide Stochastic Concurrent Constraint Programming (sCCP), a stochastic process algebra based o...
We define a semantics for stochastic Concurrent Constraint Programming (sCCP), a stochastic process ...
We define a semantics for stochastic Concurrent Constraint Programming (sCCP), a stochastic process ...
We present a technique to approximate models of biological systems written in a "distilled" version ...
We investigate the behaviour of population models written in Stochastic Concurrent Constraint Progra...
We investigate the behaviour of population models, specified in stochastic Concurrent Constraint Pro...
Building on a technique for associating Hybrid Systems (HS) to stochastic programs written in a stoc...
We present a technique to associate to stochastic programs written in stochastic Concurrent Constrai...
AbstractWe compare the hybrid, stochastic, and differential semantics for stochastic Concurrent Cons...
We compare the hybrid, stochastic, and differential semantics for stochastic Concurrent Constraint P...
We compare the hybrid, stochastic, and differential semantics for stochastic Concurrent Constraint P...
We investigate the limit behavior of a class of stochastic hybrid systems obtained by hybrid approxi...
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 provide Stochastic Concurrent Constraint Programming (sCCP), a stochastic process algebra...
We provide Stochastic Concurrent Constraint Programming (sCCP), a stochastic process algebra based o...
We define a semantics for stochastic Concurrent Constraint Programming (sCCP), a stochastic process ...
We define a semantics for stochastic Concurrent Constraint Programming (sCCP), a stochastic process ...
We present a technique to approximate models of biological systems written in a "distilled" version ...
We investigate the behaviour of population models written in Stochastic Concurrent Constraint Progra...
We investigate the behaviour of population models, specified in stochastic Concurrent Constraint Pro...
Building on a technique for associating Hybrid Systems (HS) to stochastic programs written in a stoc...
We present a technique to associate to stochastic programs written in stochastic Concurrent Constrai...
AbstractWe compare the hybrid, stochastic, and differential semantics for stochastic Concurrent Cons...
We compare the hybrid, stochastic, and differential semantics for stochastic Concurrent Constraint P...
We compare the hybrid, stochastic, and differential semantics for stochastic Concurrent Constraint P...
We investigate the limit behavior of a class of stochastic hybrid systems obtained by hybrid approxi...
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 ...