Computer Science – Computational Engineering – Finance – and Science
Scientific paper
2010-08-19
EPTCS 33, 2010, pp. 18-36
Computer Science
Computational Engineering, Finance, and Science
In Proceedings AMCA-POP 2010, arXiv:1008.3147
Scientific paper
10.4204/EPTCS.33.2
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.
Barbuti Roberto
Basuki Thomas Anung
Cerone Antonio
Maggiolo-Schettini Andrea
Milazzo Paolo
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