Instantiation of dynamic goals based on situation information in sensor management systems
Kenneth J. Hintz, Matthew Henning · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
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.