Simulation Study of Public Goods Experiment

Authors:
Zhi Tang;Jian Wu;Wei Shi;Jing Wang;Hanyi Xu
Affiliations:
College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Computer Science, Zhejiang University, Hangzhou, China;College of Science, Zhejiang University, Hangzhou, China;College of Science, Zhejiang University, Hangzhou, China
Venue:
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Year:
2009

Citing 2
Cited 0

Agent-oriented programming

Artificial Intelligence
Stock performance modeling using neural networks: a comparative study with regression models

Neural Networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper built a simulation system of Public Goods Experiment to study the Conditional Cooperation. The study of this paper was divided into 3 parts including the execution of Public Goods Experiment in laboratory, the BPNN (Back Propagation Neural Networks) modeling of the resulting data of the former experiments and finally the developing of a simulation system of Public Goods Experiment. The results of the simulation show that displaying the number and name of people who have endowed to the Public Goods Pool instantly is the best condition for stimulating Conditional Cooperation which also means the best information displaying condition of avoiding free riders.