Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.3/2594
Título: Towards an agent based modeling: The prediction and prevention of the spread of the drywood termite Cryptotermes brevis
Autor: Guerreiro, Orlando
Ferreira, Miguel
Cascalho, José Manuel
Borges, Paulo A. V.
Palavras-chave: Netlogo
Pest Control
Agent Based Systems
Data: 2013
Editora: Springer Berlin Heidelberg
Citação: Guerreiro, 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.
Resumo: We present initial efforts made to model the spread of the drywood termite in Angra do Heroísmo, 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.
Descrição: Copyright © Springer-Verlag Berlin Heidelberg 2013.
Peer review: yes
URI: http://hdl.handle.net/10400.3/2594
ISSN: 0302-9743
Versão do Editor: http://dx.doi.org/10.1007/978-3-642-40669-0_41
Aparece nas colecções:DCA - Artigos em Revistas Internacionais / Articles in International Journals

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Paper_Orlando_EPIA.pdf3,75 MBAdobe PDFVer/Abrir    Acesso Restrito. Solicitar cópia ao autor!


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.