Title :
An Adaptive Situation Assessment Based Decision Making System
Author :
Mirmoeini, F. ; Krishnamurthy, V.
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC
Abstract :
This paper describes the development of a hierarchical situation assessment system using Bayesian networks and also a situation assessment based decision making system for battlespace environment. The situation assessment system consists of two levels of reconfigurable Bayesian networks that are adapted with changes that occur in the battlespace on two different timescales. The decision making system uses this adaptive situation assessment system to make decisions that in turn affect the battlespace dynamics. An algorithm is provided to model these interactions and dynamics of the battlespace. Furthermore, a Markovian model for the battlespace dynamics is provided
Keywords :
Markov processes; belief networks; decision making; military systems; Markovian model; adaptive situation assessment; battlespace environment; decision making system; reconfigurable Bayesian networks; Adaptive systems; Bayesian methods; Decision making; Heuristic algorithms; Sensor fusion; Sensor systems; Target tracking; Time measurement; Bayesian networks; Situation assessment; battlespace modeling;
Conference_Titel :
Information Fusion, 2006 9th International Conference on
Conference_Location :
Florence
Print_ISBN :
1-4244-0953-5
Electronic_ISBN :
0-9721844-6-5
DOI :
10.1109/ICIF.2006.301583
