Using Semi-Automated Decision Algorithms in Military Operations PHOENIX

Using Semi-Automated Decision Algorithms in Military Operations PHOENIX CHALLENGE 2002 February 20 -22, 2002 New Mexico State University, Las Cruces, NM

Our focus has been in this area Message passing Collaborative Agents Joint Exercises Operational Cells Co-dependent Missions Common Decisions Tight System of Systems Loose Operator Dialog Passive Observance Single System Non-Interacting Systems

Joint Operations Planning & Execution System Typical Mission

Legend: known Plan Transition unknown

C&C Deliberate Planning Problem Recognition Fog-of-War Mission Simulator Mission Planning Element Management Decision Tools Controller Execution Monitoring Assessment

Legend: Planning Thread: Determine Course of Action Assess Mission Readiness Optimize Plan Preview Mission Case-Based Reasoning Data Mining Genetic Algorithm Map-Based Visualizer Execution Thread: Assess Mission Effectiveness Perturb Environment Monitor Timeline Update Plan Belief Network Fog-of-War Module Timeline Visualizer Optimal Policy

Rules that determine if a threat Surface-to-Air site is operational or not

Plan Optimization Target Assessment JCS Order COA Planner Target Selection Process COA Case Base

This screen displays the “goodness-of-match” of the input Planning Order against previously stored cases to aid the analyst in generating a new Course-of-Action.

This screen allows the analyst to evaluate the effectiveness of additional plans and instantly see the diversity and details of each plan.