2009/10/08 by Luca Bortolussi, Alberto Policriti · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · #Formal Methods in Verification #Gene Regulatory Network Analysis #Microbial Metabolic Engineering and Bioproduction #cs.LO #cs.PL
paper · pdf · doi:10.4204/eptcs.6.5
published as EPTCS 6, 2009, pp. 63-76
arxiv created 2009/10/08 · openalex publication_date 2009/10/08 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
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.