To analyze the Multi-Cities' Government Interaction and Policy Preference Evolution, a multi-agent simulation system is built through conceptual model, mathematic model and computer model. The preference evolutionary mechanism of micro decision-making entities is constructed based on dynamic system, and the topology evolving rule of macro social networks is built based on complex networks, and the reliability and validity test for simulation model and results is given. The simulation experiments investigate the effect of global interaction proportion, local interlinking probability, administration/stimulation measures and their interaction on the evolving process of the multi-cities' policy coordination. The statistics analysis of large sample of simulation data is integrated, to provide policy advices to advance the collaboration and integration of urban agglomeration. This research is a frontier expansion of the multi-agent system in the field of public management and policy, endowing the discipline with new research perspective and methodological system, and also an innovative try of government organizations simulation experiment research.
LUO Hang, ZHANG Yi, MENG Qing-guo
. Modeling and Simulation of Multi-Cities' Policy Coordination Based on Mas[J]. Chinese Journal of Management Science, 2015
, 23(1)
: 89
-98
.
DOI: 10.16381/j.cnki.issn1003-207x.2015.01.012
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