An intelligent design system for military situation assessment

Abstract

Maintaining an accurate assessment of military situation assessment is essential to prevention, containment and effective response to military conflicts of all kinds. This research developed an intelligent decision support system for military situation assessment, which would be extremely useful for military decision makers. High uncertainty and the dynamics of the environment is a crucial problem for military situation assessment. In this research, Bayesian network models which have the ability to model and reason under uncertainties are employed as decision models. A new approach for constructing a decision model from knowledge base according to the changes in environment is proposed. An example from domain-littoral threats assessment is used to demonstrate this system's capability to construct situation-specific Bayesian network decision models from the domain knowledge base dynamically. The generated Bayesian network for situation assessment can be changed as the situation evolves. © 2008 IEEE.