ACED (Altering Current-state to an Effective Desired-state)

The gap between a military mission's current and desired state is critical for planners and strategists. It involves assessing the military's existing capabilities, resources, and readiness (the current state) and comparing it to the intended objectives and goals of the mission (desired state). The gap between the military mission's current and desired state is fundamental to military planning. It enables commanders to understand their challenges, allocate resources effectively, and make informed decisions to achieve their mission's objectives successfully.  ACED (Altering Current-state to an Effective Desired-state) framework will provide capabilities to operators that allows for quick decision making based on the past, current and future gap.  ACED will work in tandem with simulated environments to explore the future state space of a mission given some initial conditions.  The use of Reinforced Machine Learning will automatically create new conditions to provide a breadth of simulations that provide coverage over likely future outcomes.  The simulated missions will be evaluated throughout the mission time to provide metrics as to how measures are progressing in both the goal of the mission and the timing of the mission.  The metrics are evaluated to determine which are good indicators of goal successfulness and mission timeliness. Goal gaps and Time gaps will then be determined by using the values of the indicators.  This gap analysis will be done at the task level and will be fused up to a mission level gap using Analytic Hierarchy Process (AHP).   The gap between the planned/desired state and the current/predicted state will serve as triggers for other algorithms to provide recommendations on future decisions to minimize the gap.  Examples of recommendations ACED will provide include when to trigger a replan, What-If analysis and optimal Course-of-Action recommendations.