Innovative Intelligent Agent and Cognitive Decision Aids Component Technology

The Army's Future Combat System (FCS) initiative aims to enable the army's transformation into a more strategically responsive force, capable of rapid deployment and effective operations in all types of military operations. Enabling this initiative is the concept of Net-Centric Warfare (NCW). The network-centric fires management component of FCS, however, faces the challenge of adequately processing the vast amounts of NCW-related data into meaningful knowledge as it pursues its objective of providing seamless integration, synchronization and optimization of fires and effects for assets within the FCS Unit of Action. The DAC team will address this challenge by applying innovative technologies to provide commanders with an intelligent, agent-based Fires Management System (FMS). We will accomplish this through three main objectives. First, we will implement an architecture that provides a component-based framework that allows for rapid configuration and deployment of intelligent, information-processing agents. Second, we will apply innovative techniques for information fusion that transform collected data into knowledge representations that can be used by decision support components. And finally, we will apply decision optimization and predictive analysis methods that effectively use the knowledge representation to emulate cognitive decision processes, thus providing decision support to consumer systems, commanders and fielded units