Description

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The Oxford Handbook of Computational Economics and Finance provides a survey of both the foundations of and recent advances in the frontiers of analysis and action. It is both historically and interdisciplinarily rich and also tightly connected to the rise of digital society. It begins with the conventional view of computational economics, including recent algorithmic development in computing rational expectations, volatility, and general equilibrium. It then moves from traditional computing in economics and finance to recent developments in natural computing, including applications of nature-inspired intelligence, genetic programming, swarm intelligence, and fuzzy logic. Also examined are recent developments of network and agent-based computing in economics. How these approaches are applied is examined in chapters on such subjects as trading robots and automated markets. The last part deals with the epistemology of simulation in its trinity form with the integration of
simulation, computation, and dynamics. Distinctive is the focus on natural computationalism and the examination of the implications of intelligent machines for the future of computational economics and finance. Not merely individual robots, but whole integrated systems are extending their "immigration" to the world of Homo sapiens, or symbiogenesis.

About the Author

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Shu-Heng Chen is a Distinguished Professor in the Department of Economics, Vice-President, Director of the AI-ECON Research Center, and the organizer of Experimental Economics Laboratory at National Chengchi University. Mak Kaboudan is a former Professor of Economics and Statistics at the University of Redlands' School of Business. Ye-Rong Du is a Postdoctoral research fellow at AI-ECON Research Center, National Chengchi University.