Autonomy in Use for Information Fusion Systems

Abstract

Current trends in autonomy result from many technical advancements in artificial intelligence, information communication, and systems design. Systems design includes the combination of instrumentation, modeling, and computational architectures. Examples of architecture designs are autonomy in motion (AIM) for dynamic data assessment systems (e.g., robotics) and autonomy at rest (AAR) for static data collection systems (e.g., surveillance). However, there is a need for the analysis from streaming data architectures, which necessitates autonomy in use (AIU). AIU requires pragmatic use of message passing and data flow architectures; contextual and theoretic modeling; and user and information fusion. Information fusion provides methods for data aggregation, correlation, and temporal analysis. Together, AIU accesses the dynamic data for autonomy in change (AIC), information fusion from AAR in order to make AIM real-time decisions.