• DocumentCode
    3224638
  • Title

    Situation assessments using object oriented probabilistic relational models

  • Author

    Howard, Catherine ; Stumptner, Markus

  • Author_Institution
    Electron. Welfare & Radar Div., Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
  • Volume
    2
  • fYear
    2005
  • fDate
    25-28 July 2005
  • Abstract
    This paper presents oriented probabilistic models (OPRMs), a new first order probabilistic language. OPRMs are a probabilistic frame-based representation language which allows the problem domain to be modeled in a structured manner in terms of objects and the relationships between them. We discuss our experience in applying object oriented probabilistic relational models to the formulation of situation assessments in the tactical military domain and also describe the potential use of the language for deriving impact assessments.
  • Keywords
    inference mechanisms; military computing; object-oriented languages; relational databases; uncertainty handling; OPRM; first order probabilistic language; object oriented probabilistic relational model; situation assessment; tactical military domain; Australia; Decision making; Electronic warfare; Fuses; Military computing; Object oriented modeling; Probabilistic logic; Radar; Robustness; Uncertainty; Automated reasoning; Bayesian Networks Situation assessment; Relational models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion, 2005 8th International Conference on
  • Print_ISBN
    0-7803-9286-8
  • Type

    conf

  • DOI
    10.1109/ICIF.2005.1592031
  • Filename
    1592031