Scott M. Brown

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The United States creates or acquires increasingly more complex intelligence, surveillance, and reconnaissance (ISR) systems to maintain a strong, leading presence within the world. As a result, ISR systems have become more costly and difficult to manage. The research team focused on continuing previous year efforts of another team to utilize commercial(More)
The complexity of current computer systems and software warrants research into methods to decrease the cognitive load on users. Determining how to get the right information into the right form with the right tool at the right time has become a monumental task | one necessitating intelligent interfaces agents with the ability to predict the users' needs or(More)
Approved for public release; distribution unlimited The views expressed in this dissertation are those of the author and do not reeect the oocial policy or position of the Department of Defense or the United States Government. Acknowledgements I must foremost thank God for his unending patience and love. It was said to me while at AFIT the Lord does not(More)
The complexity of" current soft.ware applications is overwhelming users. The need exists for inteUigent interface agents to address the problems of increasing taskload that is overwhelming the hunloax user. Interface agents could help alleviate user taskload by extracting and analyzing relevant information, and providing information abstractions of that(More)
This paper reports our preliminary design and implementation towards the development of Kavanah, a system to help users retrieve information and discover knowledge for a medical domain application. The goal of this system is to adaptively react to the dynamic changes in the user's interests and preferences in searching for information within the context of(More)
The PESKI (Probabilities, Expert Systems, Knowledge , and Inference) system attempts to address some of the problems in expert system design through the use of the Bayesian Knowledge Base (BKB) representation. Knowledge gathered from a domain expert is placed into this framework and inferencing under uncertainty is performed over it. However, by the nature(More)