Agent-based Microsimulation of Economy from A Complexity Perspective


An often-noted feature of computational agents research is its interdisciplinary nature. The growing use of computational models in social, biological and economic systems raises many question and concerns. Platforms such as Swarm enable researchers to construct detailed, robust computational models. The availability of these platforms may speed the pace of the computational revolution and open new areas of interest. To test the usability and suitability of Swarm to model social-economy phenomena, we have made some simple economic models implemented in Swarm. First part of the paper may discuss briefly the advantage of agent simulation in modeling economic issues and why we chose Swarm as the platform. What followed is the description of the models and results from runs of the model are also reported. The last part may introduce some of our own insight in the realm of agent-based micro simulation model of the economy

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@inproceedings{Chen2000AgentbasedMO, title={Agent-based Microsimulation of Economy from A Complexity Perspective}, author={Yu Fan Chen and Xiaomeng Su and Jinghai Rao and Hui Xiong}, year={2000} }