[SENTIENT] Symbiotic Cognitive System for Intelligent Decision Support

Context: the increase of adversarial activities via the Non-Kinetic (Information and Influence means to deliver non-lethal strategies) and the imperative for change encapsulated in the new UK Integrated Operating Concept (which has identified an era of pervasive competition where our adversaries’ goal is to win without fi(SCS) enhanced and accelerated Simulation and Training (S&T) technology. Non-Kinetic wargaming is increasingly being used as a training tool. However, current approaches lack the methods to measure and assess these cognitive dimensions within non-kinetic scenarios. The advancements in technology will have limited impact without sufficiently trained decision makers (whether human or machine) in order to exploit their full potential. Effective training cannot be achieved without a means to measure and assess behaviour and task performance. 

Product: Current research has focused on the development of a prototype Symbiotic (SCS) system, a multi-agent system consisting of human and machine agents that are designed to collectively perform cognitive tasks such as decision-making. [SENTIENT] has been designed to profile behaviour (sense-making, situational awareness, and decision-making performance) using Game Based Assessment (GBA) to capture in-depth behavioural data. This data is analysed to provide real-time feedback and After-Action Review (AAR) offering the individual with an awareness and understanding required to self-regulate thought (what psychologists call a metacognitive process). Through state-of-the-art Machine Learning (ML) algorithms, the data is used to train expert and adversarial machine agents as well as drive adaptive and calibrated AI support specific to the individual profile and context requirements within a synthetic environment.