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Showing content from http://link.springer.com/10.1007/978-3-7908-1784-3 below:

Evolutionary Computation in Economics and Finance

Editors:

1. Shu-Heng Chen

   1. AI-ECON Research Center, Department of Economics, National Chengchi University, Taipei, Taiwan, R. O. China
      

• First book focusing on the application of evolutionary computation to economics and finance
• Historical review (chap. 1)
• Brief survey with bibliography (more than 380 papers ever published in this field)
• Information on websites, conferences, computer software
• Includes supplementary material: sn.pub/extras

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After a decade's development, evolutionary computation (EC) proves to be a powerful tool kit for economic analysis. While the demand for this equipment is increasing, there is no volume exclusively written for economists. This volume for the first time helps economists to get a quick grasp on how EC may support their research. A comprehensive coverage of the subject is given, that includes the following three areas: game theory, agent-based economic modelling and financial engineering. Twenty leading scholars from each of these areas contribute a chapter to the volume. The reader will find himself treading the path of the history of this research area, from the fledgling stage to the burgeoning era. The results on games, labour markets, pollution control, institution and productivity, financial markets, trading systems design and derivative pricing, are new and interesting for different target groups. The book also includes informations on web sites, conferences, and computer software.

4. Agent-Based Computation Economics
5. Financial Engineering
   1. Front Matter

      Pages 271-271

• AI-ECON Research Center, Department of Economics, National Chengchi University, Taipei, Taiwan, R. O. China

  Shu-Heng Chen

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