This Army-funded project developed decision aids for the automated design and generation of intelligent information processing agents. Specifically, the project automated the process of designing hybrid neural net/fuzzy logic models from a domain expert’s/end user’s description of a problem situation and a set of domain data. These developments addressed the historical shortcomings of neural networks (inaccessibility, lack of structured methodologies for using and reusing networks, and the lack of knowledge-based support) by providing knowledge-based assistance to the development of neural network and fuzzy logic models. In the course of the project, KBSI researchers developed a theory of neural network modeling, identified issues involved in using neural networks and fuzzy logic, and designed knowledge-based assistance that can be provided to neural network and fuzzy logic modeling.

A key product of this effort is the Generalized Event Representation Modeling and Analysis Tool (GERMAT) that automatically generates trained neural network architectures and Fuzzy Associative Memories (FAMs) starting from a structured description of a problem situation. GERMAT is now successfully deployed in several major U.S banks for intelligent cash deposit and withdrawal forecasting and cash inventory management. GERMAT applications planned in 1998 and 1999 include intelligent reconnaissance data analysis for the Army and intelligent management of multi-modal ship maintenance data for the Navy SmartShip program.

Our vision is that the technology seeded through GERMAT will do for Neural Networks and Fuzzy Logic what the first visual programming environment has done for application programmers and what the electric starter did for the automobile. Specifically, the most significant benefit of GERMAT is that it provides access to sophisticated technology to a wide audience of potential users so that the the power of these technologies can be rapidly exploited/realized for practical applications in military and commercial user communities. Other key benefits include i) significant reductions in the time and cost for building high quality decision support models and ii) wide range of important defense and commercial applications including battleground classification, target/decoy recognition and discrimination, logistics forecasting, intelligent data fusion, data mining, knowledge discovery, and optimization.