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
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;
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
DOI :
10.1109/COGSIMA.2011.5753458