The purpose of the Flocking analytic component (AC) is to capture features of search strategies and efficiency during search+ tasks that may be used to inform Artificial Social Intelligences, commanders, and after-action-reviewers regarding each teammate’s and team’s effectiveness and efficiency. This AC calculates metrics of exploration behaviors such as search coverage/overlap as well as novel flocking parameters (e.g., alignment, separation, cohesion metrics) that capture changes in a team’s relative movements and emergent strategies. Accordingly, outputs of the AC may be employed individually and may also be combined to allow ASIs to understand the taskwork effectiveness as well as higher level strategies and operations of the observed team, and to alert ASI to issues with a given team’s search behaviors. The Flocking AC was conceptualized by researchers at the University of Central Florida and developed in collaboration with the MIT/DOLL team.
