A Brownian agent approach for modeling and simulating the population dynamics of the schistosomiasis

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T16:38:38Z
dc.date.accessioned2022-12-19T18:54:04Z
dc.date.available2019-10-06T16:38:38Z
dc.date.available2022-12-19T18:54:04Z
dc.date.created2019-10-06T16:38:38Z
dc.date.issued2014-01-01
dc.identifierProceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014, p. 351-357.
dc.identifierhttp://hdl.handle.net/11449/189375
dc.identifier2-s2.0-85068526084
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5370413
dc.description.abstractMulti-agent simulations have been successfully employed in the studies of population behavior. In this work we present a Brownian agent approach for simulating and modeling the Schistosomiasis infection. Early results suggest that the proposed model describes relevant aspects of the infection conditions.
dc.languageeng
dc.relationProceedings of the 2014 International Conference on Artificial Intelligence, ICAI 2014 - WORLDCOMP 2014
dc.rightsAcesso aberto
dc.sourceScopus
dc.subjectBrownian agents
dc.subjectPopulation dynamics
dc.subjectSchistosomiasis
dc.subjectSimulation
dc.titleA Brownian agent approach for modeling and simulating the population dynamics of the schistosomiasis
dc.typeActas de congresos


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