KEYWORDS: Sensors, Environmental sensing, Kinematics, Defense and security, Data processing, Sensor fusion, Associative arrays, Process control, Signal processing, Target recognition
Valued situation information is introduced as a measure which can be used to determine which information
to obtain with a heterogeneous sensor system in a non-stationary, dynamic environment. Situation
information is based on the change in the total Kullback-Leibler divergence of a particular type of influence
diagram which we call a situation information expected value network (SIEV Net). The SIEV Net weights
situation chance nodes by their dynamic mission goal values as expressed in the topmost goals of a mission
goal lattice and computes the valued expected information which will result if a particular information
request is selected. The sensor information request which yields the largest valued expected information is
then instantiated. The result is the greatest reduction in uncertainty of our situation estimate while
constrained to maximize the mission value of the information obtained.
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