Intelligent Acquisition Support Tool

摘要

This paper describes SEIMOAR, an Artificial Intelligence-based acquisition support tool. SEIMOAR (Systems Environment for Intelligent Modeling and Analysis of Requirements) provides a framework for representing and analyzing the functionality, structure, and behavior of C3I systems. Functional and structural information is captured via frame-based templates, in a modeling library that depicts common C3I system capabilities and components. System models are constructed by copying and editing appropriate templates. SEIMOAR also incorporates an object-oriented simulator to support dynamical modeling of system behaviors. An example acquisition task illustrates SEIMOAR's current capabilities. Work in progress on tool extensions is also outlined. (Author)