AIList-REQUEST@SRI-AI.ARPA (AIList Moderator Kenneth Laws) (09/06/85)
AIList Digest Friday, 6 Sep 1985 Volume 3 : Issue 119
Today's Topics:
Seminars - Flavor-Based Knowledge Representation (CSLI) &
Misconceptions about Basketball Statistics (UCB) &
Haptic Object Recognition (UPenn) &
Scalar Implicature (UPenn) &
NL Menu Interfaces to Databases (SMU),
Conference - Army AI and Robotics
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Date: Wed 4 Sep 85 17:17:57-PDT
From: Emma Pease <Emma@SU-CSLI.ARPA>
Subject: Seminar - Flavor-Based Knowledge Representation (CSLI)
[Excerpted from the CSLI Newsletter by Laws@SRI-AI.]
``FORK: A Flavor-Based Environment for
Object-oriented Knowledge Representation''
C. Beckstein, G. Goerz, University Erlangen-Nuernberg, West Germany
2:15, Thursday, September 5, Ventura Seminar Room
Most object-oriented extensions of LISP provide only marginal
support for the purpose of knowledge representation. In particular,
there are only poor means---if any---for specifying meta-information
about attributes of objects such as typed domains, methods for
determining values (demons), multiple-valued attributes and explicit
control of inheritance. Furthermore, they usually don't offer
adequate utilities for handling multiple perspectives, retrieving
objects through patterns of characteristic features, and maintaining
structural relations (integrity constraints) in and between objects.
FORK is an attempt to extend Flavors, an object-oriented extension of
LISP, by adding features which are well known from frame-like systems
with the advantage of keeping a systematic distinction between classes
and instances. The procedural knowledge is attached to classes either
in the usual sense of methods as functions or in the form of (forward
chaining) rule sets. In addition, FORK offers a programming
environment to support users in the construction and maintenance of
large, hybrid knowledge bases.
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Date: Wed, 4 Sep 85 13:43:19 PDT
From: chertok%ucbcogsci@Berkeley (Paula Chertok)
Subject: Seminar - Misconceptions about Basketball Statistics (UCB)
BERKELEY COGNITIVE SCIENCE PROGRAM
Fall 1985
Cognitive Science Seminar -- IDS 237A
TIME: Tuesday, September 10, 11:00 - 12:30
PLACE: 240 Bechtel Engineering Center
(followed by)
DISCUSSION: 12:30 - 1:30 in 200 Building T-4
SPEAKER: Amos Tversky, Department of Psychology,
Stanford University
TITLE: ``Misconception of Chance Processes in
Basketball''
We investigate the origin and the validity of common beliefs
regarding ``the hot hand'' and ``streak shooting'' in the game
of basketball. Basketball players and fans alike tend to
believe that a player's chance of hitting a shot are greater
following a hit than following a miss on the previous shot.
However, detailed analyses of the shooting records of the Phi-
ladelphia 76ers provided no evidence for a positive correla-
tion between the outcomes of successive shots. The same con-
clusions emerged from free-throw records of the Boston Cel-
tics, and from a controlled shooting experiment with the men
and women of Cornell's varsity teams. The outcomes of previ-
ous shots influenced Cornell players' predictions but not
their preformance. The belief in the hot hand and the
``detection'' of streaks in random sequences is attributed to
a general misconception of chance according to which even
short random sequences are thought to be highly representative
of their generating process.
------------------------------
Date: Thu, 5 Sep 85 20:56 EDT
From: Tim Finin <Tim%upenn.csnet@csnet-relay.arpa>
Subject: Seminar - Haptic Object Recognition (UPenn)
HAPTIC OBJECT RECOGNITION: WHAT CAN WE LEARN FROM HUMANS FOR MACHINE
PERCEPTION AND MANIPULATION.
Susan Lederman, Psychology Department, Queen's University in Kingston, Canada
2pm Friday, September 6, 216 Moore School, University of Pennsylvania
We shall present our investigation of haptic object recognition which
concerns with what we call "knowledge based control of Human hand movements.
The "knowledge based" hand movements are directed by the observer's goal. This
implies an analysis of hand movements at the cognitive level rather than at a
biomechanical or neutral level. Some exploratory hand movement procedures are
being suggested.
------------------------------
Date: Tue, 3 Sep 85 15:04 EDT
From: Tim Finin <Tim%upenn.csnet@csnet-relay.arpa>
Subject: Seminar - Scalar Implicature (UPenn)
DISSERTATION DEFENSE
A Theory of Scalar Implicature
Julia Hirschberg
10:00am Sept 4 1985
216 Moore School, University of Pennsylvania
Determining what an utterance conveys, beyond its semantic import, is
an important goal of natural-language processing. This thesis first
proposes a definition of one type of non-logical inference, Gricean
conversational implicature. Within this framework, it defines a class
of conversational implicature, scalar implicature, revising and
extending work by Horn (1972), Harnish (1979), and Gazdar (1979). A
theory of scalar implicature is proposed based upon an analysis of
naturally occurring data. A representation of the phenomenon is
developed, as are algorithms for calculating licensed implicatures. An
application to computer-human question-answering is discussed, as are
other potential uses in natural-language generation and understanding.
------------------------------
Date: 5 Sep 1985 11:14-EST
From: leff%smu.csnet@csnet-relay.arpa
Subject: Seminar - NL Menu Interfaces to Databases (SMU)
Speaker: Dr. Craig W. Thompson, Texas Instruments, Inc.
Topic: Menu-Based Natural Language Interfaces to Databases
Time: 3:00-4:00 p. m., Wednesday, September 11, 1985
Place: 315 SIC SMU, Southern Methodist University, Dallas, Texas
Menu-based natural language as implemented in the NLMenu system,
provides useful near-term solutions to a number of problems that
affect conventional natural language interfaces to databases.
This talk overviews our research on menu-based natural language,
describing
1) the basic NLMenu approach
2) advantages of the approach including ease-of-use for end users
and low cost for interface designers
3) applications of the approach for database updates, request for
business graphs and map displays, and mixed
dbms and keyword based informaiton retrieval queries.
The talk ends with research directions related to this new approach.
------------------------------
Date: Thu, 5 Sep 85 11:46:41 EDT
From: MAJ Kenneth Rose (Ft. Benj. Harrison) <krose@BRL.ARPA>
Subject: Conference - AI and Robotics
The U.S. Army Training and Doctrine Command is sponsoring an
artificial intelligence and robotics symposium in conjunction
with the American Defense Preparedness Association on November
6th-7th in Austin, Texas. The pupose is to afford members of
industry and the acedemic research community an opportunity to
respond to Army areas of technical interest as described in the
call for papers. A more specific description of Army interests
is in preparation for distribution at the symposium. The agenda
for the symposium follows. For more information, contact Colonel
Bruce Holt at--
American Defense Preparedness Association
Rosslyn Center, Suite 900
1700 North Moore Street
Arlington, VA 22209
*****************************************************************
ARTIFICIAL INTELLIGENCE AND ROBOTICS SYMPOSIUM
6-7 November 1985, Austin, Texas
AGENDA
Tuesday, 5 November
1800- REGISTRATION, Wyndam Hotel, Austin, Texas.
2000
2030 PRE-SYMPOSIUM MEETING FOR SPEAKERS, Wyndam Hotel. Room
location to be announced.
Wednesday, 6 November
0700 REGISTRATION, Wyndam Hotel.
OPENING SESSION
0800 INTRODUCTORY REMARKS, Major Kenneth H. Rose, Chief of
Artificial Intelligence and Robotics, US Army Soldier
Support Center, Sessions Chairman.
0805 PURPOSE OF CONFERENCE, Major General Maurice O. Edmonds,
Commander, US Army Soldier Support Center, Conference
Chairman.
0815 KEYNOTE ADDRESS, Lieutenant General Robert L. Moore,
Deputy Commanding General for Research, Development, and
Acquisition, US Army Materiel Command.
0925 US ARMY ROBOTICS DEVELOPMENT DIRECTIONS, Mr. Richard
Vitali, Deputy Chief of Staff for Technology Planning
and Management, Headquarters, US Army Materiel Command.
SESSION I - ROBOTICS
0950 Mobile Robots for Surveillance, Reconnaissance, and
Manipulative Missions: A Survey of Current Systems.
Mr. Harvey B. Mieieran, H. B. Meieran Associates.
1015 Technology Development in Intelligent Machine Systems.
Mr. Thomas G. Bartholot, Odetics, Inc.
1105 Loading, Assembling, and Packaging of Ammunition:
Applying Flexible Automation in the Future to Solve the
Problems of the Past. Mr. Vernon L. Mangold, KOHOL, Inc.
1130 Control of a Multi-Robot Processing Line Using
Artificial Intelligence. Mr. James M. McNair, GA
Technologies.
1300 ROMAC Muscle Powered Mobile Robots. Mr. Guy Immega,
MacDonald Dettwiler and Associates, Ltd., (Canada) and
Mr. Harvey B. Meieran, HB Meieran Associates.
SESSION II - AUTONOMOUS VEHICLES
1325 Abstractions to Represent the Plan of an Autonomous Land
Vehicle. Dr. Theodore A. Linden, Advanced Information &
Decision Systems.
1350 A Planning System for Autonomous Land Vehicles: An
Overview of the Hughes System. Dr. David Y. Tseng,
Hughes Aircraft Company.
1415 A Land Vehicle Navigation System Supported by a Digital
Map Data Base. Mr. Walter B. Zavoli, Etak, Inc.
1500 Obstacle Avoidance Simulation for Autonomous Land
Vehicles. Dr. Theodore A. Linden, Advanced Information
& Decision Systems.
1525 An Incremental Path Toward Autonomous Vehicles. Mr.
Jack Harper, Robot Defense Systems, Inc.
1550 Robot Combat Vehicles: Synchronizing Technology and
Applications. Mr. R. G. Diaz, General Dynamics Land
Systems Division.
1615 Remote Control Weapons Platforms. Mr. C. Ron Clouser,
Robot Defense Systems, Inc.
1640 Robotic Ranger: Recent Testbed Results/Path to Autonomy.
Mr. Jerome Kirsch, Grumman Corporation. (PROPRIETARY
INFORMATION: US GOVERNMENT PERSONNEL ONLY)
1800- RECEPTION BUFFET, Wyndam Hotel.
2000
Thursday, 7 November
0800 Design of a Lightweight, Full Mobility Vehicle. Mr.
David D. Wright, Unique Mobility, Inc.
SESSION III - KNOWLEDGE-BASED SYSTEMS
0825 Expert System for Logistics Analysis. Mr. William O.
Hedgepeth, US Army Logistics Center.
0850 Relevant Help, User Modeling, and Reasoning Under
Uncertainty. Dr. Joseph Dempsey, RCA.
0915 A Software Architecture for Realtime, Embedded Expert
Systems. Dr. Kenneth R. Whitebread, Honeywell, Inc.
1000 Stochastic Resources Allocation for Command and Control.
Dr. Marc D. Diamond, FMC Corporation and Ms. Olivia M.
Carducci, Carnegie-Mellon University.
1025 Knowledge Integrity Maintenance: Quality Assurance in
Knowledge System Development. Dr. E. Webb Stacey, Jr.,
Scientific Systems, Inc.
SESSION IV - COMMAND AND CONTROL
1050 Embedding AI Systems Into Command and Control
Applications. Ms. Sharon Storms, Ford Aerospace and
Communications Corporation.
1115 A Knowledge-based System Approach for Enhanced Crisis
Action Planning. Ms. Ina Ghaznavi-Collins, GTE
Government Systems.
1300 Intelligent Tactical Display. Mr. James R. Richardson,
Symbolics, Inc. and Captain Bill Johnson, US Army Armor
Center.
SESSION V - NATURAL LANGUAGE
1325 A Natural Language Understanding System for Maneuver
Control. Mr. Isaac Fajerman, US Army Communications-
Electronics Command, and Dr. Abe Lockman, Horizon
Information Systems.
1350 A Speech Understanding Testbed for Command and Control
Dialogs. Dr. Richard Kittredge, Odyssey Research
Associates and Mr. Isaac Fajerman, US Army
Communications-Electronics Command.
SESSION VI - TRAINING
1415 A Mark 45 Maintenance Advisor. Mr. Dick Grommes, FMC
Corporation.
1440 The Design of a Generic Intelligent Trainer. Mr. Philip
Underwood, Lockheed Missiles and Space Company.
PAPERS TO BE PUBLISHED IN SYMPOSIUM PROCEEDINGS.
Project PERICLES: The Use of Artificial Intelligence in Assisting
the Provision of Legal Services. Harvard University Law School.
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End of AIList Digest
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