AI Seminar Organizational Meeting

January 14, 2002

AI Seminar Survey results:

1) What do you think of the AI seminar?

I like it but it could be better.
I like it but it could be better.
I love it.
I love it.
I like it but it could be better.

2) What are your goals and expectations for the seminar?

I would like it to eventually have more of a workshop feel to it
where we discuss detail and try to solve problems.

1) To see what others are working on in AI at the university.
2) To make contacts with people doing similar research as me.
3) To learn from other AI ideas.
4) To get feedback on my research areas.

Just to learn about speaking within the computer science community,
areas outside my own, sharing ideas, doing research, etc. My expectations
are that the seminar would be for graduate students but also that Ph.D.'s
would be able to participate. Mostly I expected that the seminar would be
part of the learning experience to becoming a Professor.

To learn, by example, how specific AI systems (or system fragments)
are constructed and to discuss theoretical issues in AI.

1. Find out what research is going on w/r/t AI in the CS department.
2. Get some info about what is going on outside NMSU in the field.
3. Enjoy the talks.

3) Would you like to see the seminar be more tightly focused?

Yes, definitely
No, it's fine.
No, it's fine.
Don't care.
No, it's fine.

4) If yes, then how should the seminar be focused?

Assemble a set of workshop-like topics and vote on them.

I think the open focus which we have is the best, although it
might be nice to cluster presentations around similar ideas.  Given our
layout, that might be a bit impossible.
 

5) How should the seminar be changed?

See 2 and 4 above

My answer to 1 might have been "I love it" except that "I like
it" fits better.  I don't have a suggestion for making it better.  I would
just do my part to bring an interesting facet of my project before the
group.

We could add themes that appear once each semester. Such as we pick
a short story that revolves around some A.I. topic and discuss it. Or we
pick a paper or perhaps some topic (like a newspaper article or tv show)
and discuss it in detail. Most of the talks focus on some detail in a tightly
defined area but there is more to it than the technical details. I think this
would help round out the view that the seminar projects. The seminar kind of
went in this direction this semester and I think it turned out fine.
I think we should have discussions also on giving talks, writing papers, doing
research, grant writing, etc. Things that everyone (faculty also) might need
help with.

I'm not sure this would be useful but I would like to suggest that
perhaps we try a group project (i.e., writing some AI code or at least
psuedocode) relating to some specific project.



Based on these results, here are some options we might consider:

1. Keep the seminar as it is.

2. Cluster talks into specific areas, starting with a general talk about the area, followed by more focused talks. For example, a series of talks on planning, or knowledge representation.

3. Pick a series of papers that we would each read and then discuss.

4. Pick a topic or project and work on it together.

5. Other???