Fuzzy logic and neurofuzzy applications explained
Fuzzy logic and neurofuzzy applications explained
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Expert Trading Systems: Modeling Financial Markets with Kernel Regression
Expert Trading Systems: Modeling Financial Markets with Kernel Regression
Financial Prediction Using Neural Networks
Financial Prediction Using Neural Networks
Neural Networks in the Capital Markets
Neural Networks in the Capital Markets
Genetic Algorithms and Investment Strategies
Genetic Algorithms and Investment Strategies
Neural Networks for Financial Forecasting
Neural Networks for Financial Forecasting
Visual Explorations in Finance
Visual Explorations in Finance
Fuzzy Logic for Business, Finance, and Management
Fuzzy Logic for Business, Finance, and Management
Principles of Neural Model Identification, Selection and Adequacy: With Applications in Financial Econometrics
Neural Network Time Series Forecasting of Financial Markets
Neural Network Time Series Forecasting of Financial Markets
Neural Networks in Finance and Investing: Using Artificial Intelligence to Improve Real World Performance
Evolutionary Computation in Economics and Finance
Evolutionary Computation in Economics and Finance
Genetic Algorithms and Genetic Programming in Computational Finance
Genetic Algorithms and Genetic Programming in Computational Finance
Neural networks and the financial markets: predicting, combining and portfolio optimisation
Neural networks and the financial markets: predicting, combining and portfolio optimisation
Computational Intelligence in Economics and Finance: Third International Workshop (Cief 2003)
Computational Intelligence in Economics and Finance: Third International Workshop (Cief 2003)
Editorial: Computationally intelligent agents in economics and finance
Information Sciences: an International Journal
Fuzzy-genetic approach to aggregate production-distribution planning in supply chain management
Information Sciences: an International Journal
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This is an editorial guide for the special issue on computational intelligence (CI) in economics and finance. A historical introduction to the background is given. This research paradigm is traced back to Herbert Simon, who, as a founder of artificial intelligence, pioneered the applications of AI to economics. The move from the classical AI to CI indicates a continuation of the legacy of Herbert Simon. Computational intelligence has proved to be a constructive foundation for economics. In responding to what Herbert Simon referred as procedural rationality, our study of bounded rationality has been enriched by bringing autonomous agents into the economic analysis.