• DocumentCode
    1054106
  • Title

    Significance Testing of Rules in Rule-Based Models of Human Problem Solving

  • Author

    Lewis, C. Michael ; Hammer, John M.

  • Author_Institution
    Center for Man-Machine Systems Research, Georgia Institute of Technology, Atlanta, GA 30332, USA
  • Volume
    16
  • Issue
    1
  • fYear
    1986
  • Firstpage
    154
  • Lastpage
    158
  • Abstract
    Rule-based models of human problem solving have typically not been tested for statistical significance. Three methods of testing rules ¿analysis of variance, randomization, and contingency tables¿are presented. Advantages and disadvantages of the methods are also described.
  • Keywords
    Analysis of variance; Humans; Knowledge based systems; Man machine systems; Problem-solving; Testing; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/TSMC.1986.289292
  • Filename
    4075587
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1054106