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AIList Digest Volume 4 Issue 176
AIList Digest Monday, 4 Aug 1986 Volume 4 : Issue 176
Today's Topics:
Queries - Expert System to Catch Spies & Reimplementing in C &
Machine Translation & Financial Expert Systems &
Connectionist Approaches To Expert System Learning &
Snodgrass and Vanderwart Images & Forgy VAX/VMS OPS5 User Manual &
AI System Development Model,
AI Tools - VM Common Lisp & VM Prolog,
Expert Systems - Geometric Placement,
Patent - Hierarchical Knowledge System
----------------------------------------------------------------------
Date: Wed 23 Jul 86 21:39:50-CDT
From: CS.VANSICKLE@R20.UTEXAS.EDU
Subject: Expert system to catch spies
Today's (July 23, 1986) Wall Street Journal contains an
editorial by Paul M. Rosa urging the use of expert systems
to identify potential spies (acutally traitors). Mr. Rosa
is a lawyer and a former intelligence analyst. Since
virtually all American traitors sell out for money, an
expert system embodying the expertise of trained
investigators could examine credit histories, court files,
registers of titled assets such as real estate and
vehicles, airline reservations, telephone records, income
tax returns, bank transactions, use of passports, and
issuance of visas. The system would look for suspicious
patterns and alert counter-intelligence officials for
further investigation.
There are some obvious considerations of privacy and
legality, but that is probably best discussed on another
bulletin board. Mr. Rosa says the system would be used
only on the 4.3 million people who hold security
clearances, who have consented to government scrutiny.
According to Mr. Rosa, "the obstacles to implementation are
not technological," and "the system could be implemented
quickly and cheaply." He predicts that the Soviets,
working through their extensive international banking
network, will use the same techniques to identify potential
recruits. He also says that the FBI has three expert
systems for monitoring labor rackets, narcotics shipments,
and terrorist activities.
Any reactions? Is this doable? It strikes me as more of a
data collection problem than an expert system problem. Is
there anyone who knows more about the FBI expert systems
and can talk about it?
Larry Van Sickle
cs.vansickle@r20.utexas.edu
Computer Sciences Dept.
U of Texas at Austin
Austin, TX 78712
------------------------------
Date: Sun, 27 Jul 86 20:20:06 cdt
From: marick%ccvaxa@gswd-vms.ARPA (Brian Marick)
Subject: Reimplementing in C
I've been hearing and seeing something for the past couple years,
something that seems to be becoming a folk theorem. The theorem goes
like this:
Many expert systems are being reimplemented in C.
If even the expert system companies are abandoning
"special-purpose AI languages" like Lisp and Prolog, surely nobody
else - other than academics and semi-academics - will use them.
I'm curious what the facts are. Which companies are reimplementing in
C (or other languages). Why? And what (roughly) does "reimplementing
in C" mean? What languages are used for development of new products?
What will happen in the future? Which companies are not reimplementing?
Why not?
(I'm concentrating on these particular companies because they're what the
"theorizers" concentrate on. Comments from others welcome.)
Brian Marick, Wombat Consort
Gould Computer Systems -- Urbana && University of Illinois
...ihnp4!uiucdcs!ccvaxa!marick
ARPA: Marick@GSWD-VMS
------------------------------
Date: Mon, 28 Jul 86 10:03:44 edt
From: Catherine A. Meadows <meadows@nrl-css.arpa>
Subject: machine translation
I am interested in learning about machine translation of natural languages.
Can anybody out there tell me what is going on in the field these days,
how much progess has been made, what systems are being built, who is working
on them, etc.?
Catherine Meadows
(send replies to meadows@nrl-css)
------------------------------
Date: Thu 31 Jul 86 06:29:18-PDT
From: Ted Markowitz <G.TJM@SU-SCORE.ARPA>
Subject: Financial Expert Systems
I'd like to make a collection of references to work being done in AI
and finance, including trading, planning, market analysis, etc. I've
found the companies who are developing such systems internally to be
very secretive (not suprisingly), but I'd like to throw some light on
this area.
If anyone is doing work in these kinds of domains and would like to
talk about it, please send them on to me and I'll redistribute the
answers after digesting them. I see some especially interesting
problems in dealing with time and pattern recognition that occur
in these situations.
--ted
------------------------------
Date: 29 Jul 86 19:18:10 GMT
From: ucbcad!nike!lll-crg!seismo!mcvax!ukc!reading!brueer!ckennedy@ucb
vax.berkeley.edu (C.M.Kennedy)
Subject: Connectionist Approaches To Expert System Learning
CONNECTIONIST APPROACHES TO EXPERT SYSTEM LEARNING
I wish to hear about any research on the following topic:
The application of connectionist models, in particular
feature discovery networks (e.g. kohonen nets) to the
problem of knowledge induction in expert systems.
Applications of connectionist models to other areas of symbolic
processing or knowledge representation are also of interest.
I would be pleased to receive (via mail) the following information:
1. A summary of what the research is attempting to achieve,
methods used and degree of success,
2. how to obtain more detailed documentation (e.g. technical
reports),
3. references on literature used for the research or which may
be of future interest.
I would also be interested to hear of anyone else with similar interests
who can contribute useful ideas or knows of any specific literature on
the subject.
Catriona Kennedy
Brunel University
------------------------------
Date: 2 Aug 86 02:13:54 GMT
From: watcgl!fdfishman@ucbvax.berkeley.edu (Flynn D. Fishman)
Subject: Snodgrass and Vanderwart Images
I am not really sure where to post this request but I will give this a shot
and hope some one can help me.
I am looking for the digitized set of 260 commonly found objects
compiled by Snodgrass and Vanderwart for use in psychology.
Snodgrass, J. G. & Vanderwart, M. (1980). A standardized set of 260 pictures:
Norms for name agreement, image agreement, familiartity, and visual
complexity. Journal of Experimental Psychology: Human Learning and Memory,
6, 174-215..
Any format will do, but I would perfer if they were in a line format, i.e.
co-ordinates.
I would also appreciate if you could e-mail me a response as I do not get to
read as much news as I would like to.
Thanks very much.
--
FDFISHMAN (Flynn D. Fishman)
UUCP : ...!{decvax|ihnp4|clyde|allegra|utzoo}!watmath!watcgl!fdfishman
ARPA : fdfishman%watcgl%waterloo.csnet@csnet-relay.arpa
CSNET : fdfishman%watcgl@waterloo.csnet
------------------------------
Date: Sun, 3 Aug 86 15:11 EST
From: SECRIST%OAK.SAINET.MFENET@LLL-MFE.ARPA
Subject: Forgy VAX/VMS OPS5 User Manual
From: <SECRIST%OAK.SAINET.MFENET@LLL-MFE.Arpa> (Richard C. Secrist)
Date: Sun, 3-AUG-1986 15:12 EST
To: AIlist@SRI-STRIPE.ARPA
Message-ID: <[OAK.SAINET.MFENET].701C0320.008F2E4C.SECRIST>
Header-Disclaimer: I don't like my headers either.
Quote: "May your future be limited only by your dreams." -- Christa McAuliffe
Organization: Science Applications Int'l. Corp., Oak Ridge, Tenn., USA
CompuServe-ID: [71636,52]
X-VMS-Mail-To: ARPA%"AIlist@SRI-STRIPE.Arpa"
I have a copy of Forgy's 1981 OPS5 system in Lisp for use under the
public domain Franz Lisp for VMS and am trying to locate a user's
manual for it, and would appreciate any help the members of this list
could provide.
I believe the document is:
Forgy, C.L. OPS5 User's Manual. Carnegie-Mellon Univ.,
CMU-CS-78-116, 1981.
Thanks in advance to all.
Richard C. Secrist,
SECRIST%OAK.SAInet.MFEnet@LLL-MFE.Arpa
Science Applications Int'l. Corp.; 800 Oak Ridge Tpke; Oak Ridge, TN 37830
------------------------------
Date: 29 Jul 86 20:21:53 GMT
From: decvax!savax!king@ucbvax.berkeley.edu (king)
Subject: AI System Development Model
Sanders Associates, Inc., under contract to Rome Air Development Center, is
performing a study on the acquisition, management, and control of Artificial
Intelligence (AI) software. While the Department of Defense has established
numerous standards for the acquisition and development of conventional
software, such standards may not translate effectively to AI software.
The development of a model suitable for dealing with issues related to
acquisition, control and management of AI based software requires input from
experienced AI development team members. Sanders has developed a questionnaire
that explores the development process in these areas. Contributions to the
questionnaire and study will be acknowledged in the final report. Interested
professionals are invited to contact the following for a copy of the
questionnaire:
Ms. Sandy King
Sanders Associates, Inc. (MER24-1283)
Nashua, N.H. 03061
(603) 885-9242
uucp: !decvax!savax!king
------------------------------
Date: Wed, 23 Jul 86 11:10:18 pdt
From: George Cross <cross%wsu.csnet@CSNET-RELAY.ARPA>
Subject: Re: Common Lisp and Prolog on VM/CMS
Intermetrics is selling VM/CMS Common Lisp. The educational price was
recently $4000. The documentation indicates a quite complete implementation
with interfaces to Intermetrics C language available. There is an ad
for it on p32 of AI Magazine, V7, Number 1, Spring 1986.
Intermetrics
733 Concord Avenue
Cambridge, MA 02138
(617)-661-1840
Cognitive Systems may be selling CSI-LISP on top of IBM VM LISP. This
is a rewrite of T, a Scheme dialect. Details in AI Magazine, V6, Number
3, Fall 1985, page 248.
---- George
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
George R. Cross cross@wsu.CSNET
Computer Science Department cross%wsu@csnet-relay.ARPA
Washington State University faccross@wsuvm1.BITNET
Pullman, WA 99164-1210 Phone: 509-335-6319 or 509-335-6636
------------------------------
Date: Sat, 2 Aug 86 07:56:55 PDT
From: newton@vlsi.caltech.edu (Mike Newton)
Subject: VM Prolog
Regarding the recent inquiry about Common Lisp & Prolog under VM:
Though we run VM, one of the Virtual machines is UTS -- Amdahl's port
of System 5. Under this we run a locally modified version of CProlog
and are quite pleased with the performance. Warning -- UTS is *NOT*
cheap (but is very nice) !!
Our own Prolog compiler (for VM/CMS) is just nearing completion -- It can
compile roughly half of itself. However we do not expect that it will
be ready for release for a while. It follows Clocksin & Mellish as well
as can be done on an IBM mainframe (EBCDIC-->ASCII conversions and
such). When released it will be *fast* -- roughly 95 KLips on a 4341,
and currently around .8 MegaLips on a 3090 (using one processor!).
I believe the IBM prolog (Waterloo) uses a different syntax than is
commonly used.
Hope this has helped --
- mike
newton@cit-vax.caltech.edu {ucbvax!cithep,amdahl}!cit-vax!newton
Caltech 256-80 818-356-6771 (afternoons,nights)
Pasadena CA 91125 Beach Bums Anonymous, Pasadena President
------------------------------
Date: Fri, 25 Jul 86 14:27:33 PDT
From: trwrb!orion!gries@ucbvax.Berkeley.EDU (Harry A. Gries)
Reply-to: orion!gries@ucbvax.Berkeley.EDU (Harry A. Gries)
Subject: Re: Query - Geometric Placement
In article <522182201.bhola@spice.cs.cmu.edu>
Carlos.Bhola@SPICE.CS.CMU.EDU writes:
>
> Query: Does anyone know about any expert system (developed
> or under development) that relates to the placement
> of geometric objects in a plane? Examples of the
> problem would be pagination, VLSI layout, etc.
>
>
> -- Carlos.
Another application would be in creating district boundaries for
congressional representatives. The problem would be to section
the population of a state (currently California is debating this problem)
so that each district has approximately the same population. This must
be done without breaking city, county, or precinct boundaries. Also,
in order to assure a fairly homogeneous constituency, the aspect ratio
of the district must be limited. An optimal solution would have the
smallest sum of district perimeters.
-- BTK
------------------------------
Date: 1 Aug 86 15:36 PDT
From: Shrager.pa@Xerox.COM
Subject: Note without comment
United States Patent # 4,591,983
Date: May 27, 1986
Title: Hierarchical Knowledge System
Filed: July 9, 1984
Abstract:
A knowledge system has a hierarchical knowledge base comprising a
functional decomposition of a set of elements into subject sets over a
plurality of hierarchical levels. [...] the operations include matching,
configuring, and expanding the user-defined set of elements [...] In a
specific embodyment, the elements are available components of a system
or item of manufacture [...].
Perpetrators: James S. Bennett & Jay S. Lark
Techknowledge, Inc.
Palo Alto, CA
------------------------------
End of AIList Digest
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