Abstract
This paper presents the design of a simulation model for social ecological systems based on multi-agent systems. The multi-agent system incorporates subsets of intelligent agents that make decisions according to their environment and productive activity, resulting on a human-like behavior. A BDI model is proposed to model the behavior of agents simulating human entities. This allows to have a tool for decision making that can be adjusted to real data, as well as a behavior not only statistical but emergent, self-organized and adaptive. The proposed simulation model involves, in the same context, social, environmental, economic and spatial variables, i.e. social-ecological systems. Therefore, it has the potential to support decision makers in the country (mayors, governors, ministers, among others), allowing them to have a tool that shows the interaction between different entities with results in territorial planning processes.
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Muto, T.J., Bolivar, E.B., González, E. (2020). BDI Multi-agent Based Simulation Model for Social Ecological Systems. In: De La Prieta, F., et al. Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection. PAAMS 2020. Communications in Computer and Information Science, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51999-5_23
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DOI: https://doi.org/10.1007/978-3-030-51999-5_23
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