Stochastic Concurrent Constraint Programming (sCCP) extends CCP with a stochastic semantics in continuous time. As such, it can be used to model biological systems. The characterizing feature of sCCP is its exibility, given by the computational and reasoning capabilities of the constraint store. In this paper we discuss how such features can be used to model biological systems involving dierent notions of spatiality, from compartmentalization to the position of each molecule.
