Economic Modeling Using Artificial Intelligence Methods

This book provides a comprehensive exploration of AI techniques for economic modeling. Economic Modeling Using Artificial Intelligence Methods is essential for students and researchers alike.

The book Economic Modeling Using Artificial Intelligence Methods delves into the innovative application of artificial intelligence techniques to model complex economic data. Traditionally, economic modeling has relied on linear approaches, where the principles of superposition apply. However, this work highlights the shift towards more flexible, multi-order non-linear modeling through the integration of AI methods. By exploring these advanced techniques, the book opens new avenues for understanding and predicting economic phenomena beyond conventional frameworks.

In addition to AI, Economic Modeling Using Artificial Intelligence Methods addresses the limitations of game theory, particularly in multi-player scenarios. The author discusses the advantages of utilizing multi-agent systems as a means to better capture the dynamics of economic interactions. This shift is crucial for developing more accurate models that reflect the complexities of real-world economic systems.

The book covers a range of artificial intelligence techniques, including multi-layer perceptron neural networks, genetic algorithms, and fuzzy networks, among others. It also incorporates signal processing methods to analyze economic data, tackling significant issues such as causality versus correlation and stock market simulations. By investigating the interplay between economics and social phenomena, including interstate conflict and peace, Economic Modeling Using Artificial Intelligence Methods serves as a comprehensive resource for graduate students, researchers, and practitioners in the field of econometrics.