Call for Papers | Program Committee | Information Desk

Keynote Speakers:

- Barkley Rosser (James Madison University, USA)
- Paul Wang (Duke University, USA)
- Akira Namatame (National Defense Academy, Japan)

Aim and Purpose:

The purpose of our conference is to carry on the legacy of Herbert Simon, who broke down the conventional distinctions among economics, computer science and cognitive psychology, and initiated new interdisciplinary research field that we now refer to as computational information in economics. Since Year 2000, CIEF has prosperously become a world-wide forum for researchers and practitioners to exchange new ideas and latest progress in two promising research areas - Computational Information (CI) and Object-Based Modeling and Simulation (OBMS). With the fast growth of these two research approaches, in depth, CIEF has now accommodated not only object-oriented computational economics (OCE) but also studies in econometrics, experimental economics, behavioral economics, neuroeconomics, and econophysics. In width, CIEF has extended the areas of interest from intelligent computing in economics and finance to management and social sciences.

Scope and Areas:

Special session proposals devoted to the above purpose are solicited. Papers describing new techniques and/or novel applications related to, but not limited to, the following topics are invited. Practical experiences with state-of-the-art AI methodologies applied to Economic or Finance are preferably welcomed.

Application Areas:

ĦE Agent-Based Computational Economics
ĦE Artificial Stock Markets
ĦE Behavioral Finance
ĦE Experimental Economics
ĦE Simulation of Social Processes
ĦE Evolutionary Game and Industrial Organization
ĦE Financial Engineering
ĦE Financial Data Mining
ĦE Trading Strategies
ĦE Hedging Strategies
ĦE Portfolio Management
ĦE Derivative Pricing
ĦE Term Structure Models
ĦE Financial Time Series Forecasting and Analysis

Techniques:

ĦE Artificial Neural Networks
ĦE Self-Organized Map
ĦE Support Vector Machines
ĦE Fuzzy Logic
ĦE Evolutionary Strategies
ĦE Evolutionary Programming
ĦE Genetic Algorithms
ĦE Genetic Programming
ĦE Learning Classifier Systems
ĦE Statistical Classifiers
ĦE Cluster Analysis
ĦE Decision Trees
ĦE Inductive Logic Programming
ĦE Reinforcement Learning
ĦE Wavelets
ĦE Ant Algorithms
ĦE Independent Component Analysis
ĦE Sequential Monte Carlo Methods
ĦE State Space Models
ĦE Grey Models
ĦE Swarm Intelligence
ĦE Hybrid Models
ĦE Rough Sets
ĦE Hybrid System
ĦE Artificial Immune Systems
ĦE Econometrics

Paper Submission and Review:

Special Session Proposal shall be submitted to the Program Chair and all papers must be prepared in LaTeX or Word format and submitted according to the instruction on the Conference website. The length of submitted papers must be no more than 7 pages including all figures, tables and bibliography. Each contributed paper will be reviewed by 3 independent Program Committee members and will be accepted if it receives at least 2 reviewersĦĤ support. Some paper maybe selected for possible inclusion in Journal of Information Sciences, Journal of New Mathematics and Natural Computation, and a book volume published by an internationally renowned publisher.

Important Dates:

Paper Submission Deadline: August 04, 2008 August 25, 2008
Special Session Proposal Deadline: August 04, 2008 August 25, 2008
Paper Acceptance Notification: September 15, 2008 October 1, 2008
Registration Deadline: October 13, 2008 October 31, 2008
Conference Dates: December 5-7, 2008

Sponsors:

AI-ECON Research Center, National Chengchi University, Taiwan
Information Sciences Journal
New Mathematics and Natural Computation Journal
Kainan University, Taiwan
Society of Computational Intelligence in Economics and Finance
Society for Mathematics of Uncertainty

Conference Chair:

Professor Shu-Heng Chen
AI-ECON Research Center
Department of Economics
National Chengchi University, Taiwan
E-mail: chchen@nccu.edu.tw

Program Chair:

Dr. Chung-ming Ou
Department of Information Management
Kainan University
E-mail: cou077@mail.knu.edu.tw