A Knowledge-Based Modeling System for Time-Critical Dynamic Decision-Making

Author(s):  
Yanping Xiang ◽  
Kim-Leng Poh
Author(s):  
Sanna Aronsson ◽  
Henrik Artman ◽  
Joel Brynielsson ◽  
Sinna Lindquist ◽  
Robert Ramberg

Abstract Simulator training is becoming increasingly important for training of time-critical and dynamic situations. Hence, how simulator training in such domains is planned, carried out and followed up becomes important. Based on a model prescribing such crucial aspects, ten decision-making training simulator facilities have been analyzed from an activity theoretical perspective. The analysis reveals several conflicts that exist between the training that is carried out and the defined training objectives. Although limitations in technology and organization are often alleviated by proficient instructors, it is concluded that there is a need for a structured approach to the design of training to be able to define the competencies and skills that ought to be trained along with relevant measurable training goals. Further, there is a need for a pedagogical model that takes the specifics of simulator training into account. Such a pedagogical model is needed to be able to evaluate the training, and would make it possible to share experiences and make comparisons between facilities in a structured manner.


Author(s):  
R. Rousseau ◽  
S. Tremblay ◽  
D. Lafond ◽  
F. Vachon ◽  
R. Breton

Temporal awareness is key to successful decision making in a wide range of command and control situations, yet little explicit support to maintaining temporal awareness is provided by Decision Support Systems (DSS) for time-critical decisions. In the context of simulated weapon-target scheduling, the present study compared the decision support gained from two display formats: typical geospatial display and temporal display. The results demonstrated that the temporal display facilitates scheduling performance though its beneficial impact seems to require greater familiarization.


2009 ◽  
Author(s):  
C. Dominik Guss ◽  
Jarrett Evans ◽  
Devon Murray ◽  
Harald Schaub

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