Modeling a complex socioeconomic systems using multi-agent platform

被引：0

作者：

Zhao, Minhua ^{[1
]}

Yu, Junqi ^{[1
]}

Zhao, Guanghua ^{[1
]}

机构：

[1] Xian Univ Architecture & Technol, Informat & Control Engn Sch, Xian 710055, Shaanxi, Peoples R China

来源：

2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL IV, PROCEEDINGS | 2009年

关键词：

complex socioeconomic systems; simulation; multi-agent; environmental tax;

D O I：

10.1109/AICI.2009.238

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Study of complex socioeconomic systems, such as policy response system, requires a sophisticated approach for modeling and simulation. Multi-agent system can be an effective tool to reason individual and group behaviors. The paper analyzes the socioeconomic environmental policy system with the compensation policy strategy. Using the Swarm-an agent based platform, a model is built to simulate the group behaviors for various tax policies. The graphic simulation and analysis of the model makes the possible results of policy implementation understood clearly, and benefits governmental decision-making as well.

引用

页码：501 / 505

页数：5

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