%0 Generic %A Rojas, Edwin Eduardo Millán %A Castillo, José Nelson Pérez %D 2018 %T Natural vector multi-agents geo-inspired in environmental management %U https://scielo.figshare.com/articles/dataset/Natural_vector_multi-agents_geo-inspired_in_environmental_management/7506518 %R 10.6084/m9.figshare.7506518.v1 %2 https://scielo.figshare.com/ndownloader/files/13908215 %2 https://scielo.figshare.com/ndownloader/files/13908218 %2 https://scielo.figshare.com/ndownloader/files/13908230 %2 https://scielo.figshare.com/ndownloader/files/13908236 %K environmental behavior %K multi-Agent model %K simulation. %X

Abstract Environmental management requires new models to minimize or control the effects of environmental problems on the population. The complexity of environmental problems requires conducting studies to develop models to adjust the environment’s dynamics. The proposed geo-inspired model of natural vector multi-agents (Multi-AVNG) allows for the computational observation of the dynamism of the environmental entity studied. This model is based on the theory of vector agents, changing its structure to include the environmental dynamic aspect using only two behaviors, the natural and the induced, through the vector model in geographic information systems and a function which will control the progression of the environmental entity according to the model’s defined parameters.

%I SciELO journals