Chapter 1 Computational Intelligence in Economics and Finance: Shifting the Research Frontier

Chapter 2 An Overview of Insurance Uses of Fuzzy Logic

Chapter 3 Forecasting Agricultural Commodity Prices using Hybrid Neural Networks

Chapter 4 Nonlinear Principal Component Analysis for Withdrawal from the Employment Time Guarantee Fund

Chapter 5 Estimating Female Labor Force Participation through Statistical and Machine Learning Methods: A Comparison

Chapter 6 An Application of Kohonen’s SOFM to the Management of Benchmarking Policies

Chapter 7 Trading Strategies Based on K-means Clustering and Regression Models

Chapter 8 Comparison of Instance-Based Techniques for Learning to Predict Changes in Stock Prices

Chapter 9 Application of an Instance Based Learning Algorithm for Predicting the Stock Market Index

Chapter 10 Evaluating the Efficiency of Index Fund Selections Over the Fund’s Future Period

Chapter 11 Failure of Genetic-Programming Induced Trading Strategies: Distinguishing between Efficient Markets and Inefficient Algorithms

Chapter 13 Hybrid-Agent Organization Modeling: A Logical-Heuristic Approach