Cellular automata as a paradigm for ecological modeling
Applied Mathematics and Computation - Parallel Processing in Landscape Dynamics
Theory of Modeling and Simulation
Theory of Modeling and Simulation
ACTILOG: An Agent Activation Language
PADL '03 Proceedings of the 5th International Symposium on Practical Aspects of Declarative Languages
Artificial Intelligence
Further towards a taxonomy of agent-based simulation models in environmental management
Mathematics and Computers in Simulation - Selected papers of the MSSANZ/IMACS 14th biennial conference on modelling and simulation
A cellular automaton simulation tool for modelling seismicity in the region of Xanthi
Environmental Modelling & Software
A macroscopic collisional model for debris-flows simulation
Environmental Modelling & Software
Environmental Modelling & Software
Artificial Intelligence techniques: An introduction to their use for modelling environmental systems
Mathematics and Computers in Simulation
A co-modelling process of social and natural dynamics on the isle of Ouessant: Sheep, turf and bikes
Environmental Modelling & Software
Land market mechanisms for preservation of space for coastal ecosystems: An agent-based analysis
Environmental Modelling & Software
Cellular automata applied in remote sensing to implement contextual Pseudo-fuzzy classification
ACRI'10 Proceedings of the 9th international conference on Cellular automata for research and industry
Environmental Modelling & Software
Spatial agent-based models for socio-ecological systems: Challenges and prospects
Environmental Modelling & Software
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A multi-agent model of social and environmental complexity of deforestation was developed for the Caparo Forest Reserve, Venezuela. It includes three types of agents: settlers, government, and lumber concessionaires. Settlers represent people of limited economic resources that deforest and occupy reserve land to grow crops and eventually claim property rights of this land. Their agricultural practices generate unintended environmental problems. The concessionaires extract lumber using management plans approved and monitored by the government. The agent model links to a cellular automata simulation of the natural system. Representational tools include Galatea (multi-agents), Actilog (rule description), and SpaSim (cellular automata). Three scenarios were explored for government policies: hands-off, pro-forestry and agro-forestry. Results agree qualitatively well with history of land-use change in the area. Old-growth forest is replaced by logged and secondary forest but the rate at which this transformation occurs varies by scenario. These results suggest that some of the agent's behaviours and forest management plans should change to promote sustainability of the forest reserve; e.g., broadening government's role to improve management plans and monitoring, and to prevent invasion of reserve land by improving living conditions of potential settlers outside the reserve. These and other alternatives will be modelled in future work.