2010/08/19 by Thomas Anung Basuki, Antonio Cerone, Roberto Barbuti +3
Computer Science · Biochemistry, Genetics and Molecular Biology · #cs.CE #cs.FL #q-bio.PE
paper · pdf · doi:10.4204/eptcs.33.2
published as EPTCS 33, 2010, pp. 18-36 · In Proceedings AMCA-POP 2010, arXiv:1008.3147
arxiv created 2010/08/19 · arxiv updated 2010/08/20
We present a methodology for modelling population dynamics with formal means of computer science. This allows unambiguous description of systems and application of analysis tools such as simulators and model checkers. In particular, the dynamics of a population of Aedes albopictus (a species of mosquito) and its modelling with the Stochastic Calculus of Looping Sequences (Stochastic CLS) are considered. The use of Stochastic CLS to model population dynamics requires an extension which allows environmental events (such as changes in the temperature and rainfalls) to be taken into account. A simulator for the constructed model is developed via translation into the specification language Maude, and used to compare the dynamics obtained from the model with real data.