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Electronic Proceedings in Theoretical Computer Science
Article . 2010 . Peer-reviewed
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Article
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arXiv.org e-Print Archive
Preprint . 2010
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Electronic Proceedings in Theoretical Computer Science
Article . 2010
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Archivio della Ricerca - Università di Pisa
Conference object . 2010
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https://dx.doi.org/10.48550/ar...
Article . 2010
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Modelling the Dynamics of an Aedes albopictus Population

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Conference object , Other literature type 18 Aug 2010Embargo end date: 01 Aug 2010 Italy English Publisher:Open Publishing AssociationJournal:Electronic Proceedings in Theoretical Computer Science, volume 33, pages 18-36 (eissn: 2075-2180, Copyright policy )
Authors: Basuki T. A; Cerone A; BARBUTI, ROBERTO; MAGGIOLO SCHETTINI, ANDREA; MILAZZO, PAOLO; ROSSI, ELISABETTA;

doi: 10.4204/eptcs.33.2 , 10.48550/arxiv.1008.3301

arXiv: 1008.3301

handle: 11568/194072

Modelling the Dynamics of an Aedes albopictus Population

Abstract

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 Proceedings AMCA-POP 2010, arXiv:1008.3147

Country
Italy
Related Organizations
Keywords

FOS: Computer and information sciences, Formal Languages and Automata Theory (cs.FL), Populations and Evolution (q-bio.PE), Computer Science - Formal Languages and Automata Theory, QA75.5-76.95, Computational Engineering, Finance, and Science (cs.CE), Electronic computers. Computer science, FOS: Biological sciences, QA1-939, Computer Science - Computational Engineering, Finance, and Science, Quantitative Biology - Populations and Evolution, Mathematics

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Average
Average
Green
gold