MASE: Multi-Agent System for Environmental Simulation
Resumo
MASE is a multi-agent system designed as a framework to characterize, predict and explore the land-use change dynamics. It aims to assist the decision-making process by the use of environmental simulations, which is based on a hybrid modeling technique. The methodological two-fold approach intends to form a solid backbone and a replicable parameterization process. The framework is illustrated with a case study of the Brazilian Cerrado using a spatially explicit model.Referências
Grimm, V., Berger, U., Bastiansen, F., Eliassen, S., Ginot, V., Giske, J., Goss-Custard, J., Grand, T., Heinz, S. K. and Huse, G. (2006) A standard protocol for describing individual-based and agent-based models. Ecological Modelling 198 (1-2), 115–126.
Houet, T., Verburg, P. H. and Loveland, T. R. (2010). Monitoring and modelling landscape dynamics. Landscape Ecology 25, 163–167.
Le, Q. B., Park, S. J., Vlek, P. L. G. and Cremers, A. B. (2008). Land-Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. I. Structure and theoretical specification. Ecological Informatics 3 (2), 135–153.
Naivinit, W., Le Page, C., Trébuil, G. and Gajaseni, N. (2010). Participatory agentbased modeling and simulation of rice production and labor migrations in Northeast Thailand. Environmental Modelling & Software 25 (11), 1345–1358.
Pontius, R. G., Boersma, W., Castella, J.-C., Clarke, K., de Nijs, T., Dietzel, C., Duan, Z., Fotsing, E., Goldstein, N., Kok, K., Koomen, E., Lippitt, C. D., McConnell, W., Sood, A. M., Pijanowski, B., Pithadia, S., Sweeney, S., Trung, T. N., Veldkamp, A. T., Verburg and P. H. (2008). Comparing the input, output, and validation maps for several models of land change. Annals of Regional Science 42, 11–37.
Ralha, C. G., Abreu, C. G., Coelho, C. G. C., Zaghetto, A., Macchiavello, B. and Machado, R. (2013). A multi-agent model system for land-use change simulation, Environ. Model. Softw. 42, 30-46.
Smajgl, A., Brown, D. G., Valbuena, D. and Huigen, M. G. A. (2011). Empirical characterisation of agent behaviours in socio-ecological systems. Environ. Model. Softw. 26, 837–844.
Verburg, P. H. (2006). Simulating feedbacks in land use and land cover change models. Landscape Ecology 21 (8), 1171–1183.
Houet, T., Verburg, P. H. and Loveland, T. R. (2010). Monitoring and modelling landscape dynamics. Landscape Ecology 25, 163–167.
Le, Q. B., Park, S. J., Vlek, P. L. G. and Cremers, A. B. (2008). Land-Use Dynamic Simulator (LUDAS): A multi-agent system model for simulating spatio-temporal dynamics of coupled human-landscape system. I. Structure and theoretical specification. Ecological Informatics 3 (2), 135–153.
Naivinit, W., Le Page, C., Trébuil, G. and Gajaseni, N. (2010). Participatory agentbased modeling and simulation of rice production and labor migrations in Northeast Thailand. Environmental Modelling & Software 25 (11), 1345–1358.
Pontius, R. G., Boersma, W., Castella, J.-C., Clarke, K., de Nijs, T., Dietzel, C., Duan, Z., Fotsing, E., Goldstein, N., Kok, K., Koomen, E., Lippitt, C. D., McConnell, W., Sood, A. M., Pijanowski, B., Pithadia, S., Sweeney, S., Trung, T. N., Veldkamp, A. T., Verburg and P. H. (2008). Comparing the input, output, and validation maps for several models of land change. Annals of Regional Science 42, 11–37.
Ralha, C. G., Abreu, C. G., Coelho, C. G. C., Zaghetto, A., Macchiavello, B. and Machado, R. (2013). A multi-agent model system for land-use change simulation, Environ. Model. Softw. 42, 30-46.
Smajgl, A., Brown, D. G., Valbuena, D. and Huigen, M. G. A. (2011). Empirical characterisation of agent behaviours in socio-ecological systems. Environ. Model. Softw. 26, 837–844.
Verburg, P. H. (2006). Simulating feedbacks in land use and land cover change models. Landscape Ecology 21 (8), 1171–1183.
Publicado
23/07/2013
Como Citar
RALHA, Célia G.; ABREU, Carolina G.; COELHO, Cássio G. de C..
MASE: Multi-Agent System for Environmental Simulation. In: WORKSHOP DE COMPUTAÇÃO APLICADA À GESTÃO DO MEIO AMBIENTE E RECURSOS NATURAIS (WCAMA), 4. , 2013, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2013
.
p. 1103-1107.
ISSN 2595-6124.
