• DocumentCode
    3414567
  • Title

    Capability-Based Quantitative Technology Evaluation for Systems-of-Systems

  • Author

    Biltgen, Patrick T. ; Mavris, Dimitri N.

  • Author_Institution
    Georgia Inst. of Technol., Atlanta
  • fYear
    2007
  • fDate
    16-18 April 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this work, a methodology for quantitative technology evaluation for systems-of-systems is defined. Physics-based models of an aircraft system are exercised within a hierarchical, object-oriented constructive simulation to quantify technology potential in the context of a relevant scenario. Neural network surrogate models and agent-based modeling are leveraged to provide a battle management and technology exploitation capabilities to individual assets in the simulation. Surrogate models are also used around the simulation to perform rapid domain-spanning technology exploration. Since a large amount of data is produced in the analysis of systems-of-systems, dynamic, interactive visualization techniques are used to enable ´ what-if games on assumptions, systems, technologies, tactics, and evolving threats to enable decision making with respect to technology investment.
  • Keywords
    military computing; multi-agent systems; neural nets; object-oriented programming; technology management; US Air Force; agent-based modeling; aircraft system; battle management; capability-based quantitative technology evaluation systems-of-systems; dynamic interactive visualization; hierarchical object-oriented constructive simulation; long range strike; neural network surrogate models; physics-based models; rapid domain-spanning technology exploration; technology exploitation; technology investment; Aircraft manufacture; Asset management; Context modeling; Data visualization; Decision making; Game theory; Investments; Neural networks; Object oriented modeling; Technology management; Long Range Strike; Technology assessment; US Air Force; agent-based modeling; systems-of-systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System of Systems Engineering, 2007. SoSE '07. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    1-4244-1159-9
  • Electronic_ISBN
    1-4244-1160-2
  • Type

    conf

  • DOI
    10.1109/SYSOSE.2007.4304300
  • Filename
    4304300