• DocumentCode
    2918541
  • Title

    A Layered Dempster-Shafer Approach to Scenario Construction and Analysis

  • Author

    Sanfilippo, Antonio ; Baddeley, Bob ; Posse, Christian ; Whitney, Paul

  • Author_Institution
    Pacific Northwest Nat. Lab., Richland
  • fYear
    2007
  • fDate
    23-24 May 2007
  • Firstpage
    95
  • Lastpage
    102
  • Abstract
    The ability to support creation and parallel analysis of competing scenarios is perhaps the greatest single challenge for today´s intelligence analysis systems. Dempster-Shafer theory provides an evidentiary reasoning methodology for scenario construction and analysis that offers potential advantages when compared to other approaches such as Bayesian nets as it places less conceptual load on the analyst by not requiring the complete specification of joint probability distributions. This paper presents a method that can further reduce the conceptual load by taking advantage of hierarchically structured indicators. We present a novel interface for this layered, Dempster-Shafer evidentiary reasoning approach and demonstrate the utility of this interface with reference to analysis problems focusing on comparing distinct hypotheses.
  • Keywords
    Bayes methods; case-based reasoning; probability; uncertainty handling; Bayesian net; evidentiary reasoning method; hierarchical structured indicator; intelligence analysis system; joint probability distribution; layered Dempster-Shafer theory; parallel scenario analysis; scenario construction; Bayesian methods; Distribution functions; Humans; Information analysis; Intelligent systems; Joining processes; Picture archiving and communication systems; Probability distribution; Terrorism; Uncertainty; Bayesian networks; Dempster-Shafer theory; Evidence-based reasoning; analysis of competing hypotheses;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligence and Security Informatics, 2007 IEEE
  • Conference_Location
    New Brunswick, NJ
  • Electronic_ISBN
    1-4244-1329-X
  • Type

    conf

  • DOI
    10.1109/ISI.2007.379540
  • Filename
    4258680