Mase

Author:

Ralha Celia G.1,Abreu Carolina G.2

Affiliation:

1. University of Brasilia, Brazil

2. University of Brasília, Brazil

Abstract

This chapter presents research carried out under the MASE project, including the definition of a conceptual model to characterize the behavior of individuals that interact in the dynamics of land-use and cover change. A computational tool for analyzing environmental scenarios of land change was developed, called MASE - Multi-Agent System for Environmental Simulation. MASE enables agent-based simulation scenarios and integrates the influence of socio-economic and political dynamics through the interaction of agents with rules of land-use and planning policies and the environmental physical and spatial variables. MASE simulator was extended to implement the Belief-Desire-Intention (BDI) model, called MASE-BDI. MASE and MASE-BDI are discussed including the conceptual model complexity and statistical techniques of map comparison to land change models. Two real cases of the Brazilian Cerrado validate quantitative and qualitative aspects of MASE and MASE-BDI simulators. Finally, the authors present some auto-tuning aspects of adjusting simulation parameters of MASE-BDI.

Publisher

IGI Global

Reference57 articles.

1. Abreu, C. G., Coelho, C. G. C., & Ralha, C. G. (2015). MASE-BDI: Agents with Practical Reasoning for Land Use and Cover Change Simulation. In Proceedings of the 6th Workshop of Applied Computing for the Management of the Environment and Natural Resources. XXXV Congress of the Brazilian Computer Society.

2. A Model and Simulation Framework for Exploring Potential Impacts of Land Use Policies: The Brazilian Cerrado Case

3. Adams, B. M., Bauman, L. E., Bohnhoff, W. J., Dalbey, K. R., Ebeida, M. S., Eddy, J. P., . . . Wildey, T. M. (2014). Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis: Version 6.0 User’s Manual. Sandia Technical Report SAND2014-4633.

4. Agarwal, C., Green, G. M., Grove, J. M., Evans, T. P., & Schweik, C. M. (2002). A Review and Assessment of Land-use Change Models: Dynamics of Space, Time, and Human Choice. Gen. Tech. Rep. NE-297. Newton Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station.

5. Allan, R. (2011). Survey of Agent Based Modelling and Simulation Tools. Version 1.1. Available at http://www.grids.ac.uk/Complex/ABMS/

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