1. Planning in the Real World Time and Resources Hierarchical Task Network Conditional Planning Execution Monitoring and Replanning Continuous Planning MultiAgent Planning Summary

2. Time Constraints Planning gets complicated in: Scheduling Hubble Space Telescope Operating Factories Manufacturing Cooperating Agents

3. Time Constraints Goal: Complete jobs within time requirement. Start: Chassis(C1) ^ Chassis(C2) ^ Engine(E1,C1,30) ^ Engine(E2,C2,60) ^ Wheels(W1,C1,30) ^ Wheels(W2,C2,15) Goal: Done(C1) ^ Done(C2)

4. Time Constraints First Step: Partial Order. Start Add Engine 1 30 Add Wheels 1 30 Inspect 1 10 Finish Add Engine 2 60 Add Wheels 2 15 Inspect 2 10 Critical path

6. Resource Constraints Resource(k): k units of resource are needed by the action. The resource is reduced by k during the duration of the action.

7. Resource Constraints Example: Action(AddEngine(e,c,d) Precond: … Effect: … Resource: EngineHoists(1)) Other examples: Inspectors(2)

9. Planning in the Real World Time and Resources Hierarchical Task Network Conditional Planning Execution Monitoring and Replanning Continuous Planning MultiAgent Planning Summary

10. Hierarchical Task Network High Order Goal Subgoal 1 Subgoal 2 … Subgoal n Build House Get Land Construct Pay Builder

12. Decomposition A decomposition should be a correct implementation of the action (plan should be complete and consistent). A subplan is attained by unifying its variables with the state of the environment.

13. Hierarchical Task Network  HTN is complicated (undecidable).  Recursion is a problem.  Allows subtask sharing.  It is in general more efficient than naïve planning (linear rather than exponential).

14. A Successful Story Successful story: O-Plan (Bell and Tate ‘85) It helps develop production plans for Hitachi (350 products, 35 assembly machines, 2000 operations). It generates a schedule for 30 days with 8-hr shifts. The plan has tens of millions of steps.

15. Planning in the Real World Time and Resources Hierarchical Task Network Conditional Planning Execution Monitoring and Replanning Continuous Planning MultiAgent Planning Summary

16. Conditional Planning What to do with incomplete and incorrect information? Assume “bounded indeterminacy” Solution: Construct a conditional plan with branches to consider all sorts of contingencies (include sensing actions)

17. Actions Actions can have disjunctive effects: Example: Vaccum Cleaner Action(Left, Precond: At Right Effect: At Left V AtRight)

18. Effects Also add conditional effects: Example: Vaccum Cleaner Action(Suck, Precond: Effect: When (At Left) CleanL When (AtRight) CleanR)

19. Example Vacuum cleaner: Sometimes deposits dirt when it moves to a clean destination square. Sometimes deposits dirt if suck is applied to a clean square.

21. Planning in the Real World Time and Resources Hierarchical Task Network Conditional Planning Execution Monitoring and Replanning Continuous Planning MultiAgent Planning Summary

22. Execution Monitoring  Check to see if all is going according to the plan.  Re-planning agents repair old plans if something goes wrong.  Uses action monitoring to repair and continue with the plan.

24. Planning in the Real World Time and Resources Hierarchical Task Network Conditional Planning Execution Monitoring and Replanning Continuous Planning MultiAgent Planning Summary

25. Continuous Planning o The agent persists in the environment indefinitely. o The agent is part of the way through executing a plan. Example: Blocks-world problem.

27. Planning in the Real World Time and Resources Hierarchical Task Network Conditional Planning Execution Monitoring and Replanning Continuous Planning MultiAgent Planning Summary

28. MultiAgent Planning Interaction can be Cooperative Joint plan A goal is achieved when each agent performs its assigned actions. Competitive

29. Cooperative Play Tennis (doubles) Plan 1: A: [Go(A, [Right,Baseline]), Hit(A,Ball)] B: [NoOp(B), NoOp(B)]

30. Cooperative A common solution is to have a convention (constraint on joint plan). Conventions arise in evolutionary processes. Example: An ant colony. Flocking behavior of birds Besides convention you may have communication.

31. Planning in the Real World Time and Resources Hierarchical Task Network Conditional Planning Execution Monitoring and Re-planning Continuous Planning Multi-agent Planning Summary

32. Actions need resources (time being an important one) Planning can be divided in a hierarchy of subtasks Conditional plans help under uncertainty Execution Monitoring detects violations Replanning tries to repair plans Continuous planning creates new goals Multiagent planning is needed when different agents interact.