Implementing Bayesian Statistics from an Analysis of Competing Hypothesis Framework
Project Members
Brian Curnett and Samuel Liles
Brian Curnett and Samuel Liles
Abstract
The Analysis of Competing Hypotheses system is a decision analysis tool developed by the intelligence community to aid analysts in decision making. It was first developed by Richards J. Heuer to help analysts keep their biases in check when making important decisions. This system's effectiveness can be furthered to counter forms of deception and cultural bias by implementing a Bayesian Belief Network and by quantifying cultural trends.