1. Your Notes This presentation AI Home Page (new!) AI Home Page (old!)
AI Home Page (new!)
AI Home Page (old!)

2. ARTIFICIAL INTELLIGENCE RESEARCH
(and you!)
When I was thinking about what to say at this presentation, I realized that some of you might not realize why we (the faculty and grads) are so interested in involving undergraduates in research. So, I put together a description of the roles of each of these groups that clarifies the point.

3. Role of Faculty in Research
Inspiration
Funding
Guidance
Teaching
Continuity
Scouting
Faculty are, of course, the alpha and the omega. They provide inspiration for research ideas, find funding to bring those ideas to fruition, guide us through the process of realizing the ideas, and teach us how to find and develop research ideas on our own. On a meta-level, they provide continuity in research by being here for (imagine this!) more than four years! Finally, they scout the future students and faculty.
All of this is vital, but this system needs students, and that’s where graduate students fit in.

4. Role of Graduate Students
Code
So, basically, grad students code. And I suppose you can see then what the role of undergraduate students will be...

5. Role of Undergraduate Students
Code better
Seriously, though, there’s two driving reasons for involving undergraduates in research. First, you supply fresh energy and perspective. You’re all intelligent people. You’re also talented programmers and computer scientists, and you’re getting better. You have all of that, an up-to-date education, and no nasty preconceptions. That makes you valuable as researchers to us. Second, this is training for you and I. I will be training to be a faculty member or manager by working with you, providing you with all that guidance and what-not. You, on the other hand, will be training to be a graduate student or any other researcher. So, if you’re interested in moving on in research, this is the best thing you can do (for you and me).

6. Role of Undergraduate Students
Code better
Energy
Perspective
Current education
Training
Legacy
So here’s what you really bring to the table. Of course, you code better, but you also bring energy, perspective, and skills to a project. Moreover, the experience of undergraduate research is training for both of us. Finally, you will always be our students, and that’s a connection and continuity that will be valuable to both of us.

7. Why Do Research? Community service Work on the cutting edge
Experience to prepare you for {graduate school, industry}
Establish professional relationships
Credit/money

8. AI Research Intelligent User Interfaces
LPSAT - Linear Programing + SATisfiability
Adaptive Web Sites
Process-Oriented Evaluation
CMM - comprehensible multi-models
CWS - conquering without separating

9. People to See Faculty Pedro Domingos (pedrod@cs) Dan Weld (weld@cs)
Steve Tanimoto
Alon Levy database group)
Henry Kautz (coming soon)
Oren Etzioni on leave)

10. People to See Subset of Grads Corin Anderson (corin@cs)
An Hai Doan
Geoff Hulten
Tessa Lau
Steve Wolfman
Zack Ives database group)

11. LP + SAT Linear Programming + SATisfiability poly-time real valuesc a b c 1 1 1 1 1
poly-time
real values
cuts
conflict sets
fast in practice
disjunction
learning
conflict-directed search

12. LPSAT Applications Work so far metric planning temporal planning
conditional constraint solving
Work so far
LiPSyNC metric planning compiler
Prototype temporal planning compiler

13. LPSAT: Help Wanted