• DocumentCode
    427847
  • Title

    Fast and frugal algorithms for adaptive policy

  • Author

    Cunningham, Scott W. ; Van Der Lei, Telli E.

  • Author_Institution
    Dept. of Technol., Policy & Manage., Technol. Univ. of Delft, Netherlands
  • Volume
    2
  • fYear
    2004
  • fDate
    10-13 Oct. 2004
  • Firstpage
    1315
  • Abstract
    This paper reviews an ongoing debate about the nature of rationality. Contributions from both decision theorists as well as machine learning researchers are considered. New contributions to a standard judgment problem "the city inference problem" are presented. "Fast and frugal" algorithms, and their potential contributions to adaptive policymaking, are reviewed.
  • Keywords
    decision theory; inference mechanisms; learning (artificial intelligence); adaptive policymaking; city inference problem; decision theorists; fast and frugal algorithm; machine learning; standard judgment problem; Biological system modeling; Cities and towns; Decision making; Inference algorithms; Linear regression; Machine learning; Machine learning algorithms; Mathematical model; Paper technology; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2004 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-8566-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2004.1399807
  • Filename
    1399807
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=427847