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Table of contents
RÉSUMÉ
ABSTRACT
ACKNOWLEDGEMENTS
TABLE OF CONTENTS
LIST OF FIGURES
LIST OF TABLES
CHAPTER 1 INTRODUCTION
1.1 Agricultural Land-Use Planning in Vietnam
1.2 Anlyzis of the recent land-use plans issues in the Mekong Delta
1.3 Research questions
1.4 Objectives of the current research
1.5 Contribution of the thesis
1.6 Structure of the thesis
CHAPTER 2 STATE OF THE ART
2.1 Land-use and land-cover change models
2.1.1 Descriptive and explicative models
2.1.2 Bridging the gap: toward hybrid models
2.2 Decision-making of farmers concerning land-use change
2.3 Brief introduction to decision-making in socio-ecological systems
2.3.1 Decision-making approaches for reactive agents
2.3.2 Decision-making approaches for cognitive agents
2.4 Agent architectures embedding decision-making processes
2.4.1 Cognitive agent architectures
2.4.2 BDI architectures
2.5 BDI architectures and platforms to simulate farmer behaviors
2.5.1 Agent architectures for representing farmer behaviors
2.5.2 BDI architecture in existing ABM platforms
2.6 Conclusion
CHAPTER 3 THE BASIC MULTI-AGENT BASED MODEL OF LAND-USE CHANGE (MAB-LUC)
3.1 Basic integrated model for the land-use change
3.1.1 The conceptual model of the MAB-LUC
3.1.2 Modularity of the MAB-LUC
3.2 Definition of the MAB-LUC
3.2.1 Economic Sub-model
3.2.2 Environmental sub-model
3.2.3 Sub-model of farmers’ social influence
3.2.4 Farmer sub-model
3.2.5 Discussion about the farmer decision-making agent
3.3 Conclusion
CHAPTER 4 INTEGRATING A HUMAN DECISION-MAKING MODEL INTO AN AGENT BASED MODEL
4.1 Principles of the human decision-making architecture
4.2 Presentation of the GAMA BDI plug-in
4.2.1 Representation of knowledge of GAMA BDI agents
4.2.1.1 Declaration of a BDI agent
4.2.1.2 Predicates
4.2.2 Behavior of agents
4.3 Integrating the BDI architecture into the sub-model of Farmers
4.3.1 Conceptual model of the farmers based on the BDI architecture
4.3.2 Desires base of farmers
4.3.3 Intentions base of farmers
4.3.4 Set of plans defined for farmers
4.4 Conclusion
CHAPTER 5 VALIDATION OF THE COGNITIVE AGENT IN LAND-USE CHANGE MODELS
5.1 Description of experiments
5.1.1 Experiment data
5.1.2 Indicators for simulation assessment
5.2 Calibration of the sub-model of the MAB-LUC
5.2.1 Calibration of the model of farmers using Markov-based decision approach
5.2.2 Calibration of the model of farmers using MCDM approach
5.2.3 Calibration of the model of Farmers using the BDI-based decision approach
5.3 Evaluation the MAB-LUC
5.3.1 Experiment 1: The MAB-LUC using Markov-based decision approach
5.3.2 Experiment 2: The MAB-LUC using the MCDM approach
5.3.3 Experiment 3: The MAB-LUC model using the BDI – based decision approach .
5.4 Assessment
5.5 Conclusion
CHAPTER 6 INTEGRATION OF THE LAND-USE CHANGE MODEL INTO THE LAND-USE PLANNING PROCESS
6.1 Integration of the MAB-LUC into the land-use planning process
6.2 Appraisal of socio-economic factors for land-use plans
6.3 Appraisal of both socio-economic and environmental factors for land-use plans
6.4 Assessment of land-use plans under climate change
6.5 Conclusion
CHAPTER 7 CONCLUSION
7.1 Contributions
7.1.1 Contributions to agent-based modeling
7.1.2 Contributions for LUCC, LUP and assessment on impact of climate change .
7.2 Perspectives
7.2.1 Improving the integrated model regarding the usage of uncertain data
7.2.2 Extending the integrated model to similar works
APPENDIX A: GLOSSARY
B APPENDIX B: PUBLICATIONS
REFERENCES
