
handle: 11368/1707527
AbstractWe present a stochastic version of Concurrent Constraint Programming (CCP), where we associate a rate to each basic instruction that interacts with the constraint store. We give an operational semantic that can be provided either with a discrete or a continuous model of time. The notion of observables is discussed, both for the discrete and the continuous version, and a connection between the two is given. Finally, a possible application for modeling biological networks is presented.
Stochastic Languages, Probabilistic Semantics, Continuous Time Markov Chains, Continuous Time, Probabilistic Semantic, Theoretical Computer Science, Concurrent Constraint Programming; Stochastic Languages; Probabilistic Semantics; Continuous Time Markov Chains, Stochastic Language, Concurrent Constraint Programming, Computer Science(all)
Stochastic Languages, Probabilistic Semantics, Continuous Time Markov Chains, Continuous Time, Probabilistic Semantic, Theoretical Computer Science, Concurrent Constraint Programming; Stochastic Languages; Probabilistic Semantics; Continuous Time Markov Chains, Stochastic Language, Concurrent Constraint Programming, Computer Science(all)
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