COMPUTATIONAL SOCIAL SCIENCE

Department of Computational Social Science Seminar Abstract

Friday, September 14 - 3:00 p.m.
Center for Social Complexity Suite
3rd Floor, Research Hall

Can learning affect the effectiveness of price limits?

Chun-Yi Yang
CSS PhD Student
George Mason University

ABSTRACT: This paper examines how different learning methods may affect the effectiveness of price limits. We consider three different learning styles: zero-intelligence (ZI), zero-intelligence-plus (ZIP), and genetic programming learning. Our results indicate that the different learning behaviour indeed gives rise to different impacts on the market. Therefore, policy makers have to take into account traders' learning styles when they plan to impose financial regulations on the market so as to achieve the effects they expected.