2. Information & Decision Superiority Case studies in applying AI planning technologies to military & civil applications Dr Roberto Desimone Innovations Manager Knowledge & Information Systems Division

3. 3 QinetiQ Structure - designed to extract value from core technology Future Systems Technology Division Estates Division Defence Solutions Division Through Life Services Division Technology Ventures Fund Equity investors MoD Solutions Customers Managed Service Customers Sensors & Electronics Division Knowledge & Information Systems Division Specialised Channels Non-MoD Solutions Customers

4. 4 Contents 1Problem domain - military & civil 2Case Study 1: Coalition/Joint Planning 3Case Study 2: Civil Emergency Planning 4Case Study 3: Integrated Planning & Simulation 5Future research, applications & exploitation

5. 5 Problem Domain - Military & Civil  Complex planning tasks in support of major crises  Facilitating collaboration between multi-agency teams  Assisting response co-ordination & controlling operations  Auditing plans to comply with regulations & policy  Training and learning from responses to major crises  Providing planning aid support to assist decision-making  Help manage planning process in dynamic manner... above all, support human planners in developing more accurate, consistent, timely, robust plans

6. 6 Case 1 - Coalition/Joint Planning Aids  Examine how planning aids can support co-ordinating and integrating coalition/joint operations planning tasks  Capitalise on planning languages for capturing coalition/joint military doctrine and for recording planning decisions and lessons learned  Explore the integration of planning aids with operational C2 systems & develop insertion strategy into future UK/Coalition C2 systems... above all, support coalition operations planners in developing more accurate, consistent, timely, robust COAs, plan guidance & command directives for lower echelons

7. 7 Key Capabilities - Planning Aids  Recording coalition planning decisions & intentions  Determining feasible COAs, coalition and support forces  Resolving resource conflicts & plan inconsistencies  Browsing current & past COAs in multiple contexts  Provide collaborative & dynamic replanning capability Generate and validate coalition plans reflecting roles, tasks, resources of coalition partners in achieving overall mission/campaign objectives

8. 8 Guiding plan choices direct match Plan Fragment Library Recording plan rationale J5/9 Political Constraints J4 Logistics Constraints J1 ORBAT Info J2 Intelligence Info J3 Operations Constraints J6 Comms & IS Constraints Hierarchical plan development Supporting COA generation

9. 9 Case 2 - Civil Emergency Planning  Decision support for the emergency planning process  Focussed at strategic (Gold) & tactical (Silver) command levels  Planning, preparing for and preventing major incidents  Co-ordinating responses & controlling operations  Documenting & investigating accidents and responses  Training and learning from responses to major crises  Potential End-users  Emergency Services  Local authorities  Government & Regulatory Agencies  Industry & Commerce …. help manage planning process in dynamic manner, rather than just provide access to relevant information

10. 10 Currently Planning Architecture Planning Architecture Databases INTERFACE Simulations Databases Simulation Architecture Simulation Architecture INTERFACE Planners Shared Architecture/ Coupling Query and Data Manager Simulations Planners Case 3 - Integrating Planning & Simulation

11. 11 Query & Data Manager PLAN QUERY SOURCES QUERY TYPE METRICS CONSTRAINTS results initiates Query & data SIM QUERY STARTING CONDITIONS SIMULATION CONTROL sets up Query details Data Mapping Simulations Planners Queries - The basis of communication

12. 12 Plan Query Manager Data + Requests PLANNERPLANNER SIMULATORSIMULATOR Simulation Script Matcher/Retriever Prescripted Sim Query Database Sim Query Enactor Generic Sim Query Database Complex Query Composer QDM Query & Data Manager

13. 13 … provide assisted dynamic replanning capability in response to rapidly changing events Future research, applications & exploitation Medium & Long-term research  Facilitating semantic interoperability through explicit planning & command decision languages  Interleaving planning & simulation to optimise decisions and to support mission rehearsal & training  Natural language interfaces to planners to support coalition/joint operations  Highlighting uncertainty & plan robustness measures to support risk management Short-term applications & exploitation  Technology insertion of planning aids into operational military C2 systems  Transition of AI planning & scheduling technology into wider civil commercial products