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

Volume

4

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

501

Lastpage

505

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/AICI.2009.238

Filename

5376261