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Development of a novel family of military campaign simulation models

Author

Listed:
  • B Taylor

    (Policy and Capability Studies)

  • A Lane

    (Policy and Capability Studies)

Abstract

Dstl has sponsored the development and use of a family of campaign level models of military operations. The models are required to provide an insight into force structure assessment, procurement decisions and doctrinal developments. The family comprises CLARION (land/air war-fighting), COMAND (maritime/air war-fighting) and DIAMOND (non-war-fighting). The two key features of the family are the core role played by the representation of C3I (command, control, communications and information) and the classification of combat units by their interactions with one another at an aggregated level rather than by treating them as a collection of specific combat platforms.

Suggested Citation

  • B Taylor & A Lane, 2004. "Development of a novel family of military campaign simulation models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(4), pages 333-339, April.
    • Handle: RePEc:pal:jorsoc:v:55:y:2004:i:4:d:10.1057_palgrave.jors.2601714
    DOI: 10.1057/palgrave.jors.2601714
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    Citations

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    Cited by:

    1. Jeremy Smith & Stephen Barker, 2022. "Methods to measure and track population perception and support within a manual wargame," The Journal of Defense Modeling and Simulation, , vol. 19(3), pages 313-324, July.
    2. Moffat, James & Medhurst, John, 2009. "Modelling of human decision-making in simulation models of conflict using experimental gaming," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1147-1157, August.
    3. Jeremy Smith & Trevor Ringrose & Stephen Barker, 2024. "An experimental intervention to investigate user perceptions of computer versus manual board wargame," The Journal of Defense Modeling and Simulation, , vol. 21(2), pages 171-179, April.
    4. Antony M. Overstall & David C. Woods, 2016. "Multivariate emulation of computer simulators: model selection and diagnostics with application to a humanitarian relief model," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 483-505, August.

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