Shu-Heng Chen

Shu-Heng Chen is a professor in the Department of Economics and Director of Center of International Education and Exchange at the National Chengchi University. He also serves as the Director of the AI-ECON Research Center, National Chengchi University, the editor- in-chief of the Journal of New Mathematics and Natural Computation (World Scientific), the associate editor of the Journal of Economic Behavior and Organization, and the editor of the Journal of Economic Interaction and Coordination. Dr. Chen holds an M.A. degree in mathematics and a Ph. D. in Economics from the University of California at Los Angeles. He has more than 150 publications in international journals, edited volumes and conference proceedings. He has been invited to give keynote speeches and plenary talks on many international conferences. He is also the editor of the volume "Evolutionary Computation in Economics and Finance" (Plysica-Verlag, 2002), "Genetic Algorithms and Genetic Programming in Computational Finance" (Kluwer, 2002), and the co-editor of the Volume I & II of "Computational Intelligence in Economics and Finance" (Springer-Verlag, 2002 & 2007), "Multi-Agent for Mass User Support" (Springer-Verlag, 2004), “Computational Economics: A Perspective from Computational Intelligence” (IGI publisher, 2005), and “Simulated Evolution and Learning,” Lecture Notes in Computer Science, ( LNCS 4247) (Springer, 2006), as well as the guest editor of Special Issue on Genetic Programming, International Journal on Knowledge Based Intelligent Engineering Systems (2008). His research interests are mainly on the applications of computational intelligence to the agent-based computational economics and finance as well as experimental economics. Details of Shu-Heng Chen can be found at http://www.aiecon.org/ or http://www.aiecon.org/staff/shc/E_Vita.htm.

Publications

Neuroeconomics and Agent-Based Computational Economics
Shu-Heng Chen. © 2014. 20 pages.
Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can...
Agent-Based Modeling of the El Farol Bar Problem
Shu-Heng Chen, Umberto Gostoli. © 2013. 19 pages.
In this chapter, the authors study the self-coordination problem as demonstrated by the well-known El Farol problem (Arthur, 1994), which has become what is known as the minority...
The Market Fraction Hypothesis under Different Genetic Programming Algorithms
Michael Kampouridis, Shu-Heng Chen, Edward Tsang. © 2012. 18 pages.
In a previous work, inspired by observations made in many agent-based financial models, we formulated and presented the Market Fraction Hypothesis, which basically predicts a...
Bounded Rationality and Market Micro-Behaviors: Case Studies Based on Agent-Based Double Auction Markets
Shu-Heng Chen, Ren-Jie Zeng, Tina Yu, Shu G. Wang. © 2012. 18 pages.
We investigate the dynamics of trader behaviors using an agent-based genetic programming system to simulate double-auction markets. The objective of this study is two-fold....
Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization
Shu-Heng Chen, Yasushi Kambayashi, Hiroshi Sato. © 2011. 384 pages.
Biologically inspired computation methods are growing in popularity in intelligent systems, creating a need for more research and information. Multi-Agent Applications with...
Neuroeconomics: A Viewpoint from Agent-Based Computational Economics
Shu-Heng Chen, Shu G. Wang. © 2011. 15 pages.
Recently, the relation between neuroeconomics and agent-based computational economics (ACE) has become an issue concerning the agent-based economics community. Neuroeconomics can...
Bounded Rationality and Market Micro-Behaviors: Case Studies Based on Agent-Based Double Auction Markets
Shu-Heng Chen, Ren-Jie Zeng, Tina Yu, Shu G. Wang. © 2011. 17 pages.
We investigate the dynamics of trader behaviors using an agent-based genetic programming system to simulate double-auction markets. The objective of this study is two-fold....
Social Simulation with Both Human Agents and Software Agents: An Investigation into the Impact of Cognitive Capacity on Their Learning Behavior
Shu-Heng Chen, Chung-Ching Tai, Tzai-Der Wang, Shu G. Wang. © 2011. 23 pages.
In this chapter, we will present agent-based simulations as well as human experiments in double auction markets. Our idea is to investigate the learning capabilities of human...
Social Simulation with Both Human Agents and Software Agents: An Investigation into the Impact of Cognitive Capacity on Their Learning Behavior
Shu-Heng Chen, Chung-Ching Tai, Tzai-Der Wang, Shu G. Wang. © 2011. 22 pages.
In this chapter, we will present agent-based simulations as well as human experiments in double auction markets. Our idea is to investigate the learning capabilities of human...
Computational Economics: A Perspective from Computational Intelligence
Shu-Heng Chen, Lakhmi Jain, Chung-Ching Tai. © 2006. 318 pages.
The Computational Intelligence and its Applications Series publishes academic work based either on one of the computational intelligence techniques or on applications of these...