Modelling the Dynamics of an Aedes albopictus Population

Thomas Anung Basuki
(UNU-IIST)
Antonio Cerone
(UNU-IIST)
Roberto Barbuti
(Università di Pisa)
Andrea Maggiolo-Schettini
(Università di Pisa)
Paolo Milazzo
(Università di Pisa)
Elisabetta Rossi
(Università di Pisa)

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.

In Paolo Milazzo and Mario de J. Pérez Jiménez: Proceedings First Workshop on Applications of Membrane computing, Concurrency and Agent-based modelling in POPulation biology (AMCA-POP 2010), Jena, Germany, 25th August 2010, Electronic Proceedings in Theoretical Computer Science 33, pp. 18–36.
Published: 18th August 2010.

ArXived at: http://dx.doi.org/10.4204/EPTCS.33.2 bibtex PDF

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