Sense-making via Collaborative Agents and Activity Networks (SCAAN)

The volume of data collected by Air Force ISR has exceeded the capacities of traditional analysis methods. New enhancements to the Air Forces PCPAD intelligence cycle are, thus, critical to providing the analyst with the ability to strategically process, exploit and analyze the most critical information. Aptimas SCAAN system seeks to enhance PCPAD by distributing data exploitation and analysis tasks across a network of semi-autonomous agents (i.e., processing software resources) efficiently managed by a command, control, and communication (C3) software organization. SCAAN ensures robustness of distributed data analysis by balancing agent workload and building resilience to failures. SCAAN supports accuracy and optimality of large-scale data analysis by efficiently partitioning a global search problem into distributed interdependent tasks across multiple agents. SCAAN also provides agents with autonomy for learning patterns in a distributed fashion, and reduces the time of analysis by implementing algorithms that minimize processing of irrelevant data and communication requirements. Additionally, SCAAN operates in a hybrid infrastructure, leveraging service-oriented and cloud-enabled frameworks to support processing of large-scale data in accessible and denied environments. In summary, SCAAN is a processing, exploitation and analysis tool to assist analysts in efficiently and accurately extracting critical information from large-scale, distributed, multi-modal, multi-source data.