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This book examines the application of artificial intelligence methods to model economic data. It addresses causality and proposes new frameworks for dealing with this issue. It also applies evolutionary computing to model evolving economic environments.
Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena.
The artificial intelligence techniques used to model economic data include:
Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics,and is a valuable source of reference for graduate students, researchers and financial practitioners.
Presents new insights into the modeling of economic data Proposes a structure for evaluating economic strategies such as inflation targeting founded on artificial intelligence techniques Addresses causality and proposes new frameworks for dealing with this issue Applies evolutionary computing to model complex evolving economic environments in an accessible way
Autorentext
Tshilidzi Marwala, born in Venda (Limpopo, South Africa), is the Dean of Engineering at the University of Johannesburg. He is a senior member of the IEEE and distinguished member of the ACM. He is the youngest recipient of the Order of Mapungubwe and was awarded the President Award by the National Research Foundation. His research interests include the applications of computational intelligence to engineering, computer science, finance, social science and medicine.
In addition to Economic Modeling Using Artificial Intelligence Methods, he has previously published 3 books with Springer: Condition Monitoring Using Computational Intelligence Methods (2012), Militarized Conflict Modeling Using Computational Intelligence Techniques (2011); and Finite Element Model Updating Using Computational Intelligence Techniques (2010).
Klappentext
Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena.
The artificial intelligence techniques used to model economic data include:
Economic Modeling Using Artificial Intelligence Methods makes an importantcontribution to the area of econometrics, and is a valuable source of reference for graduate students, researchers and financial practitioners.
Zusammenfassung
Economic Modeling Using Artificial Intelligence Methods **examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligence for economic modeling allows for a flexible multi-order non-linear modeling. In addition, game theory has largely been applied in economic modeling. However, the inherent limitation of game theory when dealing with many player games encourages the use of multi-agent systems for modeling economic phenomena.
The artificial intelligence techniques used to model economic data include:
Economic Modeling Using Artificial Intelligence Methods makes an important contribution to the area of econometrics,and is a valuable source of reference for graduate students, researchers and financial practitioners.
Inhalt
Foreword.- Preface.- Acknowledgements.- Introduction to Economic Modeling.- Techniques for Economic Modeling: Unlocking the Character of Data.- Automatic Relevance Determination in Economic Modeling.- Neural Approaches to Economic Modeling.- Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricin…