1. www.radar.cs.cmu.edu Automated Assistant for Crisis Management (Reflective Agent with Distributed Adaptive Reasoning) RADAR

2. , but also under crisis conditions Help not only in routine situations Purpose Automation of office-management tasks, such as scheduling, e-mail handling, and resource allocation

3. Outline Overview of RADAR Resource allocation Future challenges More information See www.radar.cs.cmu.edu Talk with Radar researchers

4. Outline Overview of RADAR Resource allocation Future challenges

5. PAL video Three-minute video Military-setting motivation for RADAR (Carnegie Mellon) and CALO ( SRI ).

6. Project size Largest research project in CMU ’s School of Computer Science. Five departments Language Technologies ( LTI ) Computer Science Department ( CSD ) Institute for Software Research International ( ISRI ) Human-Computer Interaction Institute ( HCII ) Center for Automated Learning and Discovery ( CALD ) Eighty people Twenty-nine faculty members Twenty-seven graduate students Twenty-four others Five years (2003–2008)

7. Project size Largest research project in CMU ’s School of Computer Science. Advantages Multiple research areas Collaboration opportunities Potential of a major impact Drawbacks Coordination challenges Frequent deliverables

8. Challenges Intelligent performance of office-management tasks Collaboration with a human administrator Dialog with users Continuous learning of new knowledge and strategies Integration of multiple tasks

9. Research areas Artificial intelligence Machine learning Natural-language processing Human-computer interaction Architecture and integration

10. Main components Planning and co-ordination of the system’s high-level actions.

11. Main components Web Master Helps create and maintain web sites.

12. Main components Web Master E-Mail Organizer Helps filter, sort, and prioritize messages.

13. Main components Web Master E-Mail Organizer Calendar Manager Helps keep track of appointments and negotiate meeting times among multiple users.

14. Main components Web Master E-Mail Organizer Calendar Manager Briefing Assistant Helps compile reports based on multiple data sources.

15. Web Master E-Mail Organizer Calendar Manager Briefing Assistant Main components Resource Allocation

16. Outline Overview of RADAR Resource allocation Future challenges

17. Purpose Automated allocation of office resources, in both routine and crisis situations. Assignment of offices Reservation of conference rooms Allocation of furniture, computers, and other office equipment

18. People Jaime Carbonell jgc@cs.cmu.edu Resource allocation (AI and learning) Eugene Fink e.fink@cs.cmu.edu Resource allocation (AI and learning) Bob Frederking ref@cs.cmu.edu E-mail understanding (Natural language) Faculty Grad students Ulas Bardak cyprus@cs.cmu.edu Richard Wang rcwang@cs.cmu.edu Research staff Greg Jorstad gregjor@cs.cmu.edu

19. RADAR /Space video Six-minute video Initial system for automated assignment of offices.

20. Initial results A prototype system for automated allocation of offices. Effective allocation of office resources Processing of natural-language requests Interface for a human administrator

21. Outline Overview of RADAR Resource allocation Future challenges

22. Motivating task Scheduling of talks at a conference, and related allocation of rooms and equipment, in a crisis situation. Initial allocation plan Unexpected major change in space availability; for example, closing of a building Continuous stream of minor changes; for example, schedule changes and unforeseen equipment needs

23. Automated reasoning Temporal reasoning Uncertainty tolerance Preference elicitation Collaboration with a human administrator

24. Learning Integrated learning of new knowledge and strategies. From experience From observation From instruction

25. Integration Users RADAR Calendar Manager RADAR E-Mail Organizer RADAR Web Master Integrated RADAR Task manager RADAR Resource Allocation RADAR Briefing Assistant High-level planning Integrated learning

26. Integration Users Integrated RADAR High-level planning Integrated learning RADAR Resource Allocation Knowledge base and inferences RADAR Calendar Manager RADAR E-Mail Organizer RADAR Web Master RADAR Briefing Assistant User dialog manager Natural language processing Resource allocation group

27. Tasks and skills Development of AI, learning, and natural-language algorithms Solving open-ended problems Implementation and integration

28. More information Jaime Carbonell www.cs.cmu.edu/~jgc jgc@cs.cmu.edu Newell Simon Hall 4519 Eugene Fink www.cs.cmu.edu/~eugene e.fink@cs.cmu.edu New Simon Hall 4521 AI and learning Bob Frederking www.cs.cmu.edu/~ref ref@cs.cmu.edu Newell Simon Hall 4617 Language www.radar.cs.cmu.edu