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AIList Digest Volume 8 Issue 116
AIList Digest Tuesday, 1 Nov 1988 Volume 8 : Issue 116
Queries:
ES for building management?
ES for student advising (1 response)
ES for Crop Pathology
ES on the IBM PC
E.S./A.I. in Net Management
References in mobile robot research
Responses:
Machine Learning School Summary
Poetry composing programs (2 messages)
Statistical methods in inductive reasoning
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Date: 25 Oct 88 14:21:30 GMT
From: mcvax!ukc!etive!epistemi!rda@uunet.uu.net (Robert Dale)
Subject: ES for building management?
Anyone know of any work that's been done in the area of expert systems
for building management or related areas? I'm thinking particularly
of systems that monitor resource usage (heating, lighting etc) and
maybe change the environment appropriately, making use of knowledge
such as aproximately how long it takes to heat the building to a
certain temperature, and so on.
I'll summarise replies if there is sufficient interest.
BTW, if you reply to this and I don't acknowledge your reply, please
accept my apologies in advance: sometimes it's hard to get mail to US
addresses from this side of the pond.
R
--
Robert Dale Phone: +44 31 667 1011 x6470 | University of Edinburgh
UUCP: ...!uunet!mcvax!ukc!its63b!epistemi!rda | Centre for Cognitive Science
ARPA: rda%epistemi.ed.ac.uk@nss.cs.ucl.ac.uk | 2 Buccleuch Place
JANET: rda@uk.ac.ed.epistemi | Edinburgh EH8 9LW Scotland
------------------------------
Date: 27 Oct 88 03:16:34 GMT
From: a5v@psuvm.bitnet
Subject: ES for student advising
I would appreciate receiving any lead to works done on expert systems
apply to student advising (curriculum advising)
Thanks
Al VAlbuena
------------------------------
Date: 31 Oct 88 02:46:44 GMT
From: mailrus!uflorida!haven!h.cs.wvu.wvnet.edu!b.cs.wvu.wvnet.edu!sip
ing@rutgers.edu (Siping Liu)
Subject: Re: expert systems for student advising
I did a project in an advanced AI class last term which seems what you
are looking for. It was done in LASER, a C-based object-oriented knowledge
representation facility (similiar to KEE).
Of course you won't like to look through the 2,700 lines of codes and
I dono't think you can run it yourself -- you need LASER and RPS (a PS like
OPS5).
Functions:
. A student can input his interests and get advise on who is better to be
his reserach advisor and his class plan to get his degree according to the
degree policy and what class he has taken. He can also specify classes
he wants to take next term and the program will check the time conflicting
among the class schedule, if he has satisfied the pre-requires of the
class, if the class has saturated (if so, a message will send to the
professor and he is put into the waitting list. The professor can put him
in the class if he wants to), warning if this guy has chosen too many
classes for one term or if too much programming work he'll face, etc.
. The Dept. sectary can set up/modify a student's record (what class he has
taken before and scores). She can check every student's record.
. The head of the Dept. has the priviledge to see every student's record,too.
He can also set policy for each class.
. A professor can see the class enrollment and student names. He can only see
the records of students advised by him.
. Many more things I prefer to skip for the sake of saving your time.
I planed to bring in some features such as in case of a contradictory between
a student and his teacher, the problem will be submitted to the head of Dept.
The motivation for my professor to give this assignment is to have a taste on
the problem of Concurrent Engineering (where a lot of experts work together to
solve a design problem) which is a research project in West Virinia University.
I will be glad if I could be any help.
------------------------------
Date: Fri, 28 Oct 88 14:58:46 EDT
From: <ganguly@ATHENA.MIT.EDU>
Subject: ES for Crop Pathology
I am posting this request on behalf of a friend
of mine. I would appreciate if someone can provide
information on expert systems for identifying crop diseases.
Thanks,
Jaideep Ganguly
ganguly@athena.mit.edu
------------------------------
Date: 28 Oct 88 22:20:05 GMT
From: dsc@izimbra.CSS.GOV (David S. Comay)
Subject: ES on the IBM PC
i'm looking for information and/or recommendations on expert system
builders for the ibm pc and compatibles. the application will be a
`small' consultation-based expert system (on the order of a hundred
rules) and though i have heard of these three products out there, i
know little more about them or any others: ti's pc personal consultant,
vp-expert & the level5 system.
i would appreciate any information and or opinions on these products or
others out there that might fit the bill.
thanks for the help,
dsc
------------------------------
Date: 28 Oct 88 23:11:46 GMT
From: att!mtuxo!rsn@bloom-beacon.mit.edu (XMRH2-S.NAGARAJ)
Subject: E.S./A.I. in Net Management
I am interested in finding out information regarding efforts to
include ES/AI in network management. I am interested in large
scale networks.
I would appreciate any information on references, papers,
conferences, books, organizations, contacts, etc.
Please send me e-mail if you can give me any kind of help.
Thanks.
Raj Nagaraj
mtuxo!rsn
------------------------------
Date: Sun, 30 Oct 88 16:18:20 PST
From: tutiya@russell.Stanford.EDU (Syun Tutiya)
Reply-to: russell!tutiya@russell.Stanford.EDU (Syun Tutiya)
Subject: references in mobile robot research
I am a philosopher who happens to be intersted in the state of the art
about mobile robot research. Could anybody out there tell me the
least biased, most illuminating and insightful yet readble
introduction to the field?
Thanks.
Syun Tutiya
(tutiya@csli.stanford.edu)
------------------------------
Date: 20 Oct 88 20:32:00 GMT
From: mirror!rayssd!raybed2!applicon!bambi!webb!webb@bu-cs.bu.edu
Subject: Machine Learning School Summary
I recently posted a request for information about graduate schools which have
good programs in Artificial Intelligence and Machine Learning. This is a
summary of the information which I recieved. To all those who responded,
thank you very much. I invite further comments on the opinions expressed
below, and further input from those at these or other schools.
******Eastern Schools:
Rutgers:
- Strong learning program.
University of North Carolina:
- No AI program.
Yale:
- Dominated by Roger Schank, who is reputedly very hard on his
students. Strong recommendations against going here.
- Dana Angluin doing excellent theoretical work.
Harvard:
- Small program (5-6 students/year), correspondingly close contact
with faculty.
- Les Valiant is doing theoretical machine learning work.
- William Woods is willing to support machine learning work, though
his usual field is natural language.
Carniege-Mellon University:
- Very difficult to get in.
- Rated consistiently as one of the top AI and Machine Learning
schools in the world.
- Diverse program
- Allen Newell; SOAR project
- Tom Mitchell, Jamie Carbonell, John Anderson in Machine Learning,
many others in other fields of AI and connectionism. Berliner,
Kenade, Reddy, Hinton, etc.
- Focus on research rather than classwork.
University of Pennsylvania:
- Well-known for their natural language work, not so much so for
machine learning.
- One complaint about terrible student/administration relationships.
MIT:
- Very difficult to get in.
- Famous for requiring 8-9 years of work for PhD.
- Rumored: (from Stanford student)
- Unfriendly
- One dimensional Department.
- Many professors were MIT undergrads.
University of Mass. @ Amherst:
- Strong AI and learning programs.
Georgia Tech:
- Dr. Janet Kolodner; Case Based Reasoning, Experiential learning,
PhD from Yale under Roger Schank.
- Connection with DARPA through Col. Bob Simpson who recieve MS in
Machine Learning from Georgia Tech under Kolodner. He is head of
DARPA Machine Learning research.
University of Pittsburgh:
- Bruce Buchanan has come here from Stanford to set up a big-time
AI lab. If he stays, excitement will follow.
- Focus on Expert Systems.
******Central Schools:
University of Illinois @ Champaign-Urbana:
- 6 AI faculty whose primary interest is learning, 4 have it as a
secondary interest. Fields include:
- EBL (Jerry DeJong)
- Theory of Learning (Lenny Pitt)
- Probabalistic learning, applied and theoretical
(Sylvian Ray, Larry Rendell)
- Conceptual Clustering (Bob Stepp)
- KBS Learning, automated programming (David Wilkins)
- Interdiscplinary approach, esp. re. the psychology dept.
- Doug Medin, Dedre Genter, William Brewer, William Greenough
- Work also being done in Lingusitics, Statistics, Electrical
Engineering and Physics Depts.
- Beckman Institute on campus
- Brand new $50M facility for study of intelligence and
complex systems.
University of Michigan:
- Holland; Classifiers and Genetic Algorithms
- Host of last year's (1987) Machine Learning conference.
******Western Schools:
University of Texas @ Austin:
- Machine Learning group headed by Bruce Porter.
- Many well-known and respected scientists working and visiting there.
(eg. Silberschatz, Boyer and Moore, Dijkstra)
- Relationship with MCC and Doug Lenat.
Stanford:
- Very difficult to get in.
- Famous for requiring 8-9 years of work for PhD.
- Bruce Buchanan, their best learning professor, has relocated to
U. Pittsburgh.
- AI department is dominated by those who believe that rigorous
logic is the representation best suited to solving problems.
- Rich Keller; explaination based learning. Their only specialist.
- David Rumelhart, connectionist, works in psych. dept.
- Most professors will support machine learning research however.
- Terrific connections with industry:
- Schlumberger
- NASA Ames
- Xerox PARC
- Lockheed AI Center
- Do not have an active learning group.
University of California @ San Diego:
- Most, if not all, of their machine learning work is centered
around connectionism.
University of California @ Berkeley:
- AI is not the focus of their CS department.
- Main AI professor is Wilensky, a clone of Roger Schank.
- Stuart Russell, Stanford graduate.
University of California @ Irvine:
- Strong psychological orientation.
- Good funding, good equipment.
- CS dept. is up and coming.
- Pat Langely main Learning professor.
- 4 faculty doing learning work
- 2 doing explaination-based learning
- 1 doing empirical work
- 45min to 1hr from LA.
University of California @ Los Angeles:
- Not recommended for machine learning
******Foreign schools:
University of Edinburgh, Scotland:
Peter Webb.
{allegra|decvax|harvard|yale|mirror}!ima!applicon!webb,
{mit-eddie|raybed2|spar|ulowell|sun}!applicon!webb, webb@applicon.com
------------------------------
Date: 27 Oct 88 10:04:47 GMT
From: mcvax!ukc!etive!aiva!ken@uunet.uu.net (Ken Johnson)
Subject: Re: poetry composing programs
Look for `The policeman's beard is half constructed' by ``Racter''.
--
==============================================================================
From: Ken Johnson
Address: AI Applications Institute, The University, EDINBURGH, Scotland
Phone: 031-225 4464 ext 212
Email: k.johnson@ed.ac.uk
Quotation: Everyone said it couldn't be done
But he buckled down and set to it;
He tackled the Job That Couldn't Be Done,
And he couldn't do it.
------------------------------
Date: Fri, 28 Oct 88 13:07:37
From: ALFONSEC%EMDCCI11.BITNET@CUNYVM.CUNY.EDU
Subject: Poetry composing programs
I know of work done in this area by J. Ruiz de Torres. The program
was written in APL/PC and generated blank verse in Spanish.
A book was published describing the system (also in Spanish):
"El Ordenador y la Literatura" (J. Ruiz de Torres), Siglo Cultural,
Madrid, 1987.
The program had a set of definitions of grammar structures (correct
sentences) and long lists of words. The result was quite
impressive, at least the first time you saw it.
Regards,
Manuel Alfonseca, ALFONSEC at EMDCCI11
------------------------------
Date: Mon Oct 31 16:15:44 1988
From: Oren.Etzioni@VIOLET.LEARNING.CS.CMU.EDU
Subject: Statistical methods in inductive reasoning.
reply to query on: statistical methods in inductive reasoning.
Please see my paper "Hypothesis Filtering: A Practical Approach to
Reliable Learning" in the proceedings of the 1988 Machine Learning
Conference.
oren
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End of AIList Digest
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