• DocumentCode
    2990698
  • Title

    Decision Infrastructure for Counterinsurgency Operational Planning (DICOP)

  • Author

    Freedy, Elan ; Lartigue, Col Lou ; Chung, Lisa ; Ratwani, Raj ; Weltman, Gershon ; Zanol, James ; Pierce, Brian ; Cohen, Marvin

  • Author_Institution
    Perceptronics Solutions, Inc., Arlington, VA, USA
  • fYear
    2011
  • fDate
    22-24 Feb. 2011
  • Firstpage
    268
  • Lastpage
    275
  • Abstract
    This paper describes a new Decision Infrastructure for Counterinsurgency Operational Planning (DICOP). DICOP facilitates the cognitive processes of the command team by providing a method for organizing relevant situational data, visualizing and modeling operational factors, assessing uncertainty and risk, and identifying and planning courses of action that are likely to provide the greatest utility. DICOP is organized around three main components: Mission Analysis; Mission Modeling; and Mission Planning. Mission Analysis provides a method for rapidly organizing and analyzing incoming intelligence and situational information. Mission Modeling provides a structure for constructing campaign models (lines of effort, objectives, and end states), using doctrinal templates, assessing the impact of situational factors, and associating intelligence information with the model. Mission Planning supports resource to task allocation, scheduling, and order generation. Initial positive evaluation by US Army command personnel has shown that DICOP is a powerful tool that fits the needs of the counterinsurgency planning team. Users highlighted three key cognitive features: (1) the ability to explicitly represent and manipulate operational factors in a modeling framework, (2) the ability to directly associate intelligence in support for or against those factors, and (3) numerical measures of utility and risk for different courses of action. The paper describes the DICOP cognitive rationale, its functional features, its initial evaluation, and the plans for further empirical evaluation in an operational environment.
  • Keywords
    cognition; decision making; military computing; planning; DICOP cognitive rationale; US army command personnel; cognitive process; counterinsurgency operational planning; decision infrastructure; mission analysis; mission modeling; mission planning; operational factor modeling; task allocation; task scheduling; Analytical models; Computational modeling; Data visualization; Decision making; Planning; Training; Command and control cognitive enhancement; counterinsurgency planning; decision support systems; influence diagram modeling; visualizations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2011 IEEE First International Multi-Disciplinary Conference on
  • Conference_Location
    Miami Beach, FL
  • Print_ISBN
    978-1-61284-785-6
  • Type

    conf

  • DOI
    10.1109/COGSIMA.2011.5753458
  • Filename
    5753458