The Multi-agent-based Model for Community Forest Management ·∫∫®”≈Õß ”À√—∫°“√®—¥°“√aÉ“TMÿ¡TMπ‚¥¬„TMâÀ≈“¬‡Õ‡®π∑å

1 Graduate Student, Information Technology, Department of Computer Science, Faculty of Science, Khon Kaen University, Thailand 2 Assistant Professor, Computer Science, Department of Computer Science, Faculty of Science, Khon Kaen University, Thailand * corresponding author, e-mail: [email protected] Abstract Community forests are essential to the local population of Thailand. The problem is that a community forest is an ecosystem with much complexity involving many for stakeholders; moreover, stakeholders are in conflict over community forest usage. The guide for solving the problem uses multi-agent system (MAS) for community forest model construction in order to simulate the dynamics of community forest resources caused by villager behavior using the community forest resources in the time period. The stakeholders can address and solve the problems; in addition, they could collaboratively manage community forest for sustainable yields. The results of the Khaonoi-napang community forest case study, Khon Kaen province, showed that there were 68,888 trees, and the tree birth rate was 0.06 (trees/year), the tree dead rate was 0.03 (trees/year), and the illegal tree cutting rate was 0.59 (trees/person/year). The simulation results showed that the tree cutting rate, which will generate a sustainable community forest in the future, was less than 7.47 (trees/person/year).