Uncertainty management in information warfare

This paper investigates the application of fuzzy uncertainty management to Information Warfare Simulation (SimIW). Information Warfare (IW) is manifested in uncertainty; no resolved or conclusive definition currently exists. From the creation of false signals to alteration of network performance, uncertainty is rooted in this type of combat. A model for defining the types of cognitive systems that perceive information is presented as well as an explanation of the types of uncertainty associated with information. The measurement of uncertainty associated with this project is managed using fuzzy logic. Fuzzy logic manages different types of uncertainty and provides a linguistic modeling capability that more closely match that of the human communications capability. The chosen application was to develop an example of a fuzzy generic intelligent agent where this agent is an active participant in IW. The project provides a model of how an agent will characterize and measure associated uncertainty.