Economic Modeling Using Artificial Intelligence Methods

1. Introduction to Economic Modeling
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2. Techniques for Economic Modeling: Unlocking the Character of Data
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3. Automatic Relevance Determination in Economic Modeling
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4. Neural Approaches to Economic Modeling
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5. Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing
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6. Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data
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7. Missing Data Approaches to Economic Modeling: Optimization Approach
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8. Correlations Versus Causality Approaches to Economic Modeling
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9. Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization
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10. Real-Time Approaches to Computational Economics: Self Adaptive Economic Systems
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11. Multi-agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market
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12. Control Approaches to Economic Modeling: Application to Inflation Targeting
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13. Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace
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14. Conclusions and Further Work
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Avainsanat: Computer Science, Artificial Intelligence (incl. Robotics), Game Theory/Mathematical Methods, Computational Intelligence, Computational Science and Engineering, Pattern Recognition, Statistics and Computing/Statistics Programs