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- Newsgroups: comp.ai
- Path: sparky!uunet!destroyer!cs.ubc.ca!uw-beaver!june.cs.washington.edu!hanks
- From: hanks@june.cs.washington.edu (Steve Hanks)
- Subject: UW's program in AI
- Message-ID: <1992Nov9.182742.7601@beaver.cs.washington.edu>
- Sender: news@beaver.cs.washington.edu (USENET News System)
- Organization: Computer Science & Engineering, U. of Washington, Seattle
- Date: Mon, 9 Nov 92 18:27:42 GMT
- Lines: 101
-
- Well, shameless self-promotion seems the order of the
- day, and I for one am not above it. Here's some
- information about our graduate program.
-
- ======================================================
- Graduate Studies in AI at the University of Washington
- =======================================================
-
- We have three faculty doing "mainstream" AI research:
-
- Oren Etzioni (CMU 1991) --- Machine learning; integrated
- agent architectures for software domains (UNIX softbots).
-
- Steve Hanks (Yale 1990) --- Planning and decision-making
- under uncertainty; temporal reasoning; probabilistic
- reasoning.
-
- Dan Weld (MIT 1989) --- Qualitative reasoning about
- physical systems; planning; diagnosis.
-
- Recently our research efforts have converged on various
- issues related to planning. You might check out the recent
- KR92 and AI planning systems proceedings to get an idea of what
- we're currently interested in:
-
- Etzioni, Hanks, Weld, Draper, Lesh, Williamson
- "An Approach to Planning with Incomplete Information"
- Proceedings, KR92
-
- Penberthy and Weld
- "UCPOP: A Sound, Complete, Partial-Order Planner for ADL"
- Proceedings, KR92
-
- Haddawy and Hanks
- "Representations for Decision-Theoretic Planning:
- Utility Functions for Deadline Goals"
- Proceedings, KR92
-
- Hanks and Weld
- "Systematic Adaptation for Case-Based Planning"
- Proceedings, AI Planning Systems
-
- Williamson and Hanks
- "Efficient Temporal Reasoning for Plan Projection"
- Proceedings, AI Planning Systems
-
- Oren has a couple of papers in the Machine Learning 92
- proceedings that reflect his current learning-related work.
-
- UW has several faculty members working in AI-related areas
- as well:
-
- Alan Borning
- Constraint languages, logic programming.
- Alistair Holden
- Speech recognition, applications of neural networks.
- Ira Kalet (department of Radiation Oncology)
- Medical applications of AI.
- Richard Ladner
- Computational learning theory.
- Linda Shapiro
- Machine vision, image understanding.
- Steve Tanimoto
- Machine vision, computers and education.
-
- Apart from what I think is a very strong and enthusiastic group
- of people in AI and AI-related areas, the department is a
- really nice place to work:
-
- -- You get a first-rate education in computer science.
- We have excellent groups in systems and architecture,
- VLSI, theory, graphics, languages, and software engineering.
- You have to take courses in many of these areas, and
- collaboration among the various groups is encouraged.
-
- -- It's a very open, friendly environment. There are
- no barriers between students or faculty in different
- research areas, between students and faculty, between
- junior and senior faculty.
-
- -- Seattle is a great place to live. (This last comment
- applies to prospective grad students only. The
- rest of you stay away!)
-
- If you'd like more information about the program you can
- direct technical/research questions to me, or to Oren,
- or to Dan:
-
- {etzioni,hanks,weld}@cs.washington.edu.
-
- Administrative questions, like requests for application
- materials, are best fielded by
-
- grad-admissions@cs.washington.edu
-
- Application deadline is February 1, I believe.
-
- Steve.
-
-
-
-