Plamen V. Petrov, Qiuming Zhu, Jeffrey D. Hicks, and Alexander D. Stoyen
This research addresses a problem of how to make effective use of real-time information acquired from multiple sensor and heterogeneous data resources, and reasoning on the gathered information for situation assessment and impact assessment (SA/IA), thus to provide reliable decision support for time-critical operations. A hierarchical collective agents network (HCAN) is employed as a solution to this problem. The agents network supports multi-sensor registration, real-time sensor/platform cueing, level-2 and level-3 information fusion, and has an arm toward the level-4 fusion objectives. An agent component assembly and decision-support-system-development environment, the 21 Century systems’ AEDGETM software package, is used for the design and implementation of a HCAN-DSS system.