Hybrid Semantics of Stochastic Programs with Dynamic Reconfiguration

Luca Bortolussi
(University of Trieste)
Alberto Policriti
(University of Udine)

We begin by reviewing a technique to approximate the dynamics of stochastic programs –written in a stochastic process algebra– by a hybrid system, suitable to capture a mixed discrete/continuous evolution. In a nutshell, the discrete dynamics is kept stochastic while the continuous evolution is given in terms of ODEs, and the overall technique, therefore, naturally associates a Piecewise Deterministic Markov Process with a stochastic program. The specific contribution in this work consists in an increase of the flexibility of the translation scheme, obtained by allowing a dynamic reconfiguration of the degree of discreteness/continuity of the semantics. We also discuss the relationships of this approach with other hybrid simulation strategies for biochemical systems.

In Ralph-Johan Back, Ion Petre and Erik de Vink: Proceedings Second International Workshop on Computational Models for Cell Processes (COMPMOD 2009), Eindhoven, the Netherlands, November 3, 2009, Electronic Proceedings in Theoretical Computer Science 6, pp. 63–76.
Published: 8th October 2009.

ArXived at: https://dx.doi.org/10.4204/EPTCS.6.5 bibtex PDF

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