[size=0.86em]Publication Date: April 16, 2013 | ISBN-10: 1447150090 | ISBN-13: 978-1447150091 | Edition: 2013
Economic Modeling Using Artificial Intelligence Methodsexamines 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:
- multi-layer perceptron neural networks
- radial basis functions
- support vector machines
- rough sets
- genetic algorithm
- particle swarm optimization
- simulated annealing
- multi-agent system
- incremental learning
- fuzzy networks
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.