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Agent-Based Simulation of Rural Areas and Agriculture Information of 11 Country Units in Shandong Province

Abstract : This paper constructed the agent-based modeling framework and discussed the mechanism and implementation of agent-based rural areas and agriculture information by open-source program on country scale. In the paper, 13 indices were proposed to measure the rural areas and agriculture information level in the overlay 11 country regions located in Yellow River Delta and the Blue Economic Zone of Peninsula. The energy node agents represented for informatization involved in agent context were also constructed, network and grid of rural areas and agriculture information. In the study, 11 informatization node agents were given as the energy for the comprehensive evaluation of rural areas and agriculture information, which indicated the strength changes of rural areas and agriculture information. Correspondingly, the node process simulation of rural areas and agriculture information was explored from dual strategy mechanism driving. Then the agent energy transmission mode was put forward for 11 informatization node agent, after that three grades change status of energy transmission was displayed in the study, which responded to the gradient changes of rural areas and agriculture information. Moreover, the spatial process of 11 informatization nodes was obviously described by the agent simulation with the Repast-S IDE, and the unsealed link among node agents was also analyzed in the paper.
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Yujian Yang, Lili Wang, Qingyu Chen, Jingling Li. Agent-Based Simulation of Rural Areas and Agriculture Information of 11 Country Units in Shandong Province. 7th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2013, Beijing, China. pp.117-122, ⟨10.1007/978-3-642-54344-9_14⟩. ⟨hal-01220903⟩

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