• DocumentCode
    792704
  • Title

    Swiss army knife and Ockham´s razor: modeling and facilitating operator´s comprehension in complex dynamic tasks

  • Author

    Yufik, Yan M. ; Sheridan, Thomas B.

  • Author_Institution
    Institute of Medical Cybernetics Inc., Gaithersburg, MD, USA
  • Volume
    32
  • Issue
    2
  • fYear
    2002
  • fDate
    3/1/2002 12:00:00 AM
  • Firstpage
    185
  • Lastpage
    199
  • Abstract
    This paper identifies two contending metaphors of the mind, and outlines a model of comprehension informed by the parsimony principle ("Ockham\´s razor"). The model, called virtual associative network (VAN), is applied to explain human performance and improve decision aiding in complex tasks involving multiple variables and rapidly changing constraints. This model is compared to a conventional modeling paradigm ("Swiss army knife") representing the mind as a "toolkit" of special purpose "instruments" (or modules). The paper has four sections. The first section introduces the VAN model focusing on its key assumptions. The second section runs computational experiments to assess the mathematical validity of these assumptions. Next, some of the model\´s decision aiding applications are demonstrated. The concluding section discusses agreement and the lack of such between the VAN model and other cognitive theories. Discussion centers on assessing VAN\´s plausibility vis-a-vis recent neuropsychological findings.
  • Keywords
    biocybernetics; cognitive systems; large-scale systems; neural nets; psychology; VAN model; cognitive modeling; complex systems; comprehension; dynamic situations; parsimony principle; virtual associative network; Cognitive science; Dictionaries; Gaussian processes; Humans; Military computing; NASA; Problem-solving; Psychology; Space technology; Terminology;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/TSMCA.2002.1021107
  • Filename
    1021107