Title :
Modeling a Complex Socioeconomic Systems Using Multi-agent Platform
Author :
Zhao, Minhua ; Yu, Junqi ; Zhao, Guanghua
Author_Institution :
Inf. & Control Eng. Sch., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
Abstract :
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.
Keywords :
decision making; environmental economics; government policies; multi-agent systems; socio-economic effects; governmental decision-making; graphic simulation; group behavior; individual behavior; multi-agent platform; policy response system; socioeconomic environmental policy system; swarm-an agent based platform; tax policy; Artificial intelligence; Biological system modeling; Computational intelligence; Computational modeling; Computer architecture; Control engineering; Environmental economics; Java; Multiagent systems; Software libraries; complex socioeconomic systems; environmental tax; multi-agent; simulation;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.238
