Open AccessMASE-BDI: Agents with Practical Reasoning for Land Use and Cover Change Simulation
Author(s) -
C. L. de Abreu,
Cássio Giorgio Couto Coelho,
Célia Ghedini Ralha
Publication year - 2015
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5753/wcama.2015.10191
Subject(s) - cover (algebra) , computer science , dimension (graph theory) , land cover , action (physics) , cognition , land use , artificial intelligence , engineering , psychology , mathematics , civil engineering , mechanical engineering , physics , quantum mechanics , neuroscience , pure mathematics
Agents with a cognitive dimension are paramount to represent and understand land use and land cover changes that involves decision making. A Belief-Desire-Intention(BDI)-Agent system for environmental simulation was developed:the MASE-BDI framework. MASE-BDI, a novel version of MASE, implements agents that can be represented by their individual beliefs and in- tentional behavior to choose plans of action in a complex environment. We investigate the advantages, limitations and drawbacks of this new design and how practical reasoning agents can contribute to decision support for sustain- ability. Experiments were made in a spatially explicit LUCC study case of the Brazilian Cerrado between the years of 2002 and 2008. MASE-BDI simulation results were compared to those obtained with the multi-agent system for land- use change simulation previously developed in this research project.