John D. Lowrance

A new approach is taken to address the various aspects of the multiple-target tracking (MTT) problem in dense and noisy environments.

The goal of this project was to enable knowledge engineers to construct knowledge bases (KBs) faster. To achieve this goal, we investigated two techniques: knowledge reuse and axiom templates. The results were demonstrated by developing a question-answering system for the crisis management challenge problem (CMCP).

The GKB Editor is a generic editor and browser of knowledge bases (KBs) and ontologies – generic in the sense that it is portable across several frame knowledge representation systems (FRSs).

This document is designed to serve as a self-contained introduction to evidential reasoning and Gister-CL. Evidential reasoning is a collection of techniques for automated reasoning from evidence; Gister-CL is an application independent implementation of these techniques.

The CYPRESS system is a domain-independent framework for defining persistent agents with this full range of behavior. It has been used for several demanding applications, including military operations, real-time tracking, and fault diagnosis.

The system identifies problems and developments that might lead to deviations from planned project outcomes and does so at such an early stage that effective corrective action can still be taken.

PEWS combines a proven project reporting methodology with the latest artificial intelligence techniques such as evidential reasoning. Together, they ensure the successful outcome of large projects.

Grasper-CL [5] is a COMMON LISP system for manipulating and displaying graphs, and for building graph-based user interfaces for application programs.

The functional and operational requirements that define the DoD Directory will yield a system with a significant level of complexity. We describe the artificial intelligence-based approach developed to solve and reduce problems in order to achieve a usable, capable, secure, and manageable DoD Directory service.