Description
Computational Economics: A Perspective from Computational Intelligence offers a thorough examination of how computational intelligence techniques can revolutionize economic research and practice. The book integrates methods from artificial intelligence, machine learning, and evolutionary computation with economic theory and practice.
Authored by leading experts including Shu-Heng Chen, Lakhmi Jain, and Chung-Ching Tai, this work covers a range of applications from agent-based modeling to neural networks in economic forecasting. It provides both theoretical foundations and practical implementations for economists and computer scientists seeking to understand and apply computational methods to economic problems.
The volume is part of the Computational Intelligence and Its Applications Series, making it essential reading for researchers and practitioners interested in the convergence of economics and intelligent computing systems.
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