Title :
Predictive analysis network tool for human knowledge elicitation and reasoning
Author :
Thompson, Jennifer ; Bradley, Jessica
Author_Institution :
Decisive Analytics Corp., Arlington
Abstract :
Bayesian networks are useful for predicting future activities on the battlefield. Bayesian mathematics provides the most benefit in JDL fusion levels 2+, i.e. situation, threat, and performance assessment. However, these networks are exceedingly difficult for the average person to develop, much less a soldier in the middle of a war. We are in the process of developing a Bayesian modeling aid that walks the user through each step of the process, supplying help, suggesting alternatives, and translating their model into a human language description that is understandable by non-experts. This effort was originally funded as an AFRL Phase I SBIR (FA8750-06-C-0089) and is currently a Phase II SBIR. In this paper we will walk through the process of developing a Bayesian network and discuss how our tool helps at each step.
Keywords :
belief networks; inference mechanisms; knowledge acquisition; AFRL Phase I SBIR; Bayesian networks; Phase II SBIR; human knowledge elicitation; human language description; predictive analysis network tool; reasoning; Algorithm design and analysis; Bayesian methods; Computer architecture; Computer networks; Design methodology; Humans; Mathematics; Military computing; Object oriented modeling; Testing; Bayesian Networks; Knowledge Elicitation; Predictive Analysis; Reasoning;
Conference_Titel :
Information Fusion, 2007 10th International Conference on
Conference_Location :
Quebec, Que.
Print_ISBN :
978-0-662-45804-3
Electronic_ISBN :
978-0-662-45804-3
DOI :
10.1109/ICIF.2007.4408129