• DocumentCode
    863272
  • Title

    Computational intelligence in economic games and policy design [Research Frontier]

  • Author

    Dawid, Herbert ; La Poutre, Han ; Xin Yao

  • Author_Institution
    Univ. of Bielefeld, Bielefeld
  • Volume
    3
  • Issue
    4
  • fYear
    2008
  • Firstpage
    22
  • Lastpage
    26
  • Abstract
    Developing CI techniques for economic games and policies is a very promising and fast-growing field. Several interesting multi-disciplinary subfields exist, which require researchers of various disciplines to collaborate with each other and contribute to the advances of knowledge in this emerging new field. Obviously, in both computer science and economics, there are still many open questions and challenges, ranging from robustness issues to co-learning aspects, and from economic modeling, validation, and interpretation to large- scale simulation of complex adaptive systems. It is essential that such multi- disciplinary research challenges are tackled in a true multi disciplinary approach by both computer scientists and economists. We hope this short article will encourage more researchers and practitioners to join the exciting research in CI in economics.
  • Keywords
    artificial intelligence; economics; game theory; complex adaptive systems; computational intelligence; economic games; economic modeling; economic policy design; Aggregates; Computational intelligence; Computer science; Environmental economics; Evolutionary computation; Game theory; Graphical models; Mathematics; Neural networks; Oligopoly;
  • fLanguage
    English
  • Journal_Title
    Computational Intelligence Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1556-603X
  • Type

    jour

  • DOI
    10.1109/MCI.2008.929845
  • Filename
    4625788