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

fYear

2006

fDate

10-13 July 2006

Firstpage

1

Lastpage

8

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2006 9th International Conference on

Conference_Location

Florence

Print_ISBN

1-4244-0953-5

Electronic_ISBN

0-9721844-6-5

Type

conf

DOI

10.1109/ICIF.2006.301583

Filename

4085869