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Towards an agent based modeling: The prediction and prevention of the spread of the drywood termite Cryptotermes brevis

dc.contributor.authorGuerreiro, Orlando
dc.contributor.authorFerreira, Miguel
dc.contributor.authorCascalho, JosƩ Manuel
dc.contributor.authorBorges, Paulo A. V.
dc.date.accessioned2014-01-14T12:57:41Z
dc.date.available2014-01-14T12:57:41Z
dc.date.issued2013
dc.date.updated2013-12-06T19:36:59Z
dc.descriptionCopyright Ā© Springer-Verlag Berlin Heidelberg 2013.en
dc.description.abstractWe present initial efforts made to model the spread of the drywood termite in Angra do HeroĆ­smo, Azores, using an agent based modeling approach. First we describe how a simple Cellular Automata (CA) model was created in Netlogo to simulate the spread of the species based on simple assumptions concerning the ecology of the species. A second step was taken by increasing the complexity of the initial CA approach, adding new specific characteristics to each cell, based again on ecology of the species and its behavior towards the environment. Finally, we add agents to the model in order to simulate the human intervention in fighting back the pest. This new model has become a two-level Agent-Based model. We also evaluated the costs of this intervention. These efforts were supported by field research which allowed a continuous cross-checking of the results obtained in the model with the field data.en
dc.identifier.citationGuerreiro, O.; Ferreira, M.; Cascalho, J.; Borges, P.A.V. (2013). "Towards an agent based modeling: The prediction and prevention of the spread of the drywood termite Cryptotermes brevis", «Lecture Notes in Computer Science» (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8154: 480-491. ISSN 0302-9743.en
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/10400.3/2594
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherSpringer Berlin Heidelbergpor
dc.relation.publisherversionhttp://dx.doi.org/10.1007/978-3-642-40669-0_41por
dc.subjectNetlogoen
dc.subjectPest Controlen
dc.subjectAgent Based Systemsen
dc.titleTowards an agent based modeling: The prediction and prevention of the spread of the drywood termite Cryptotermes brevisen
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage491por
oaire.citation.startPage480por
oaire.citation.titleLecture Notes in Computer Scienceen
oaire.citation.volume8154por
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor

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