DEVELOPMENT AND DELIVERY OF SENSOR FUSION ALGORITHMS

Dataware engineering is an emerging methodology for the application neural networks and associated techniques to specific problems. It is based on a comprehensive theory of systems that learn from experience and reason by analogy, called "correlithms." Research into dataware engineering has recently suggested a new and potentially very powerful analysis methodology for coordinating data from a variety of sources. (This coordination is commonly called "sensor fusion.") If found feasible, this approach will allow the design and implementation of generic systems capable of utilizing data from diverse sources to produce a single environmental perspective, in other words, "situationally aware" systems. This project will test this approach on a problem to be jointly developed with the Office of Primary Responsibility.