[comp.doc.techreports] tr-input/mit.14

leff@smu.UUCP (Laurence Leff) (12/29/89)

		     NEW MIT AI LAB PUBLICATIONS
			   Announcement #14
                           December 28, 1989

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:aim 1146
:author Shimon Edelman and Daphna Weinshall
:asort Edelman, S.; Weinshall, D.
:title A self-organizing multiple-view representation of
three-dimensional objects
:date August 1989
:pages 27
:cost $3.25
:keywords recognition, network models, learning, representation
:abstract
We explore representation of 3D objects in which several distinct 2D
views are stored for each object.  We demonstrate the ability of a
two-layer network of threshold summation units to support such
representations.  Using unsupervised Hebbian relaxation, we trained
the network to recognize ten objects from different viewpoints.  The
training process led to the emergence of compact representations of
the specific input view.  When tested on novel views of the same
objects, the network exhibited a substantial generalization
capability.  In simulated psychophysical experiments, the network's
behaviour was qualitatively similar to that of human subjects.

:aim 1148
:author Anita M. Flynn and Rodney A. Brooks
:asort Flynn, A.; Brooks, R.
:title Battling Reality
:date October 1989
:pages 21
:cost $3.25
:keywords subsumption architecture, mobile robots, gnat robots,
robotics, sensors, navigation
:abstract
In the four years that the MIT Mobile Robot Project has been in
existence, we have built ten robots that focus research in various
areas concerned with building intelligent systems.  Towards this end,
we have embarked on trying to build useful autonomous creatures that
live and work in the real world.  Many of the preconceived notions
entertained before we started building our robots turned out to be
misguided.  This paper describes the changing paths our research has
taken due to the lessons learned from the practical realities of
building robots.

:aim 1157
:author Thomas Marill
:asort Marill, T.
:title Recognizing Three-Dimensional Objects Without The Use of
Models
:date September 1989
:pages 26
:cost $3.25
:keywords recognition, vision, three-dimensional, line drawings
:abstract
We present an approach to the problem of recognizing
three-dimensional objects from line-drawings. In this approach there are
no models. The system needs only to be given a single picture of an
object; it can then recognize the object in arbitrary orientations.

:aim 1164
:author Federico Girosi and Tomaso Poggio
:asort Girosi, F.; Poggio, T.
:title Networks and the Best Approximation Property
:date October 1989
:pages 22
:cost $3.25
:keywords learning, networks, regularization, best approximation,
approximation theory
:abstract
Networks can be considered as approximation schemes.  Multilayer
networks of the backpropagation type can approximate arbitrarily well
continuous (Cybenko, 1989; Funahashi, 1989; Stinchcombe and White,
1989).  We prove that networks derived from regularization theory and
including Radial Basis Function (Poggio and Girosi, 1989), have a
similar property.  From the point of view of approximation theory,
however, the property of approximating continous functions arbitrarily
well is not sufficient for characterizing good approximation schemes.
More critical is the property of best approximation.  The main result
of this paper is that multilayer networks, of the type used in
backpropagation, are not best approximation.  For regularization
networks (in particular Radial Basis Function networks) we prove
existence and uniqueness of best approximation.

:aim 1165
:author Brian LaMacchia and Jason Nieh
:asort LaMacchia, B.; Nieh, J.
:title The Standard Map Machine
:date September 1989
:pages 47
:cost $3.75
:keywords chaos, nonlinear mappings, numerical computations, computer
architecture, special-purpose computing
:abstract
We have designed the Standard Map Machine(SMM) as an answer to
theintensive computational requirements involved in the study of
chaotic behavior in nonlinear systems.  The high-speed and
high-precision performance of this computer is due to its simple
architecture specialized to the numerical computations required of
nonlinear systems.  In this report, we discuss the design and
implementation of this special-purpose machine.

:aim 1174
:author Harold Abelson
:asort Abelson, H.
:title The Bifurcation Interpreter: A step towards the automatic
analysis of dynamical systems
:date September 1989
:cost $3.75
:adnum AD-A214639
:pages 43
:keywords dynamical systems, algebraic/symbolic computation,
numeric/symbolic processing, scientific computing
:abstract

:aim 1176
:author David McAllester and Robert Givan
:asort McAllester, D.; Givan, R.
:title Natural Language Syntax and First Order Inference
:date October 1989
:cost $3.25
:pages 28
:keywords knowledge representation, automated reasoning, Montague
semantics, theorem proving, natural language, taxonomy
:abstract
We have argued elsewhere that first order inference can be made more
efficient by using non-standard syntax for first order logic.  In this
paper we show how a fragment of English syntax under Montague semantics
provides the foundation of a new inference procedure.  This procedure
seems more effective than corresponding procedures based on either
classical syntax or our previously proposed taxonomic syntax.  This
observation may provide a functional explanation for some of the
syntactic structure of English.

:aim 1177
:author David W. Jacobs
:asort Jacobs, D.
:title Grouping for Recognition
:date November 1989
:cost $3.75
:pages 44
:keyword grouping, indexing, recognition, model-based vision
:abstract
This paper presents a new method of grouping edges in order to recognize
objects.  This grouping method succeeds on images of both two- and
three-dimensional objects.  So that the recognition system can consider
first the collections of edges most likely to lead to the correct
recognition of objects, we order groups of edges based on the likelihood
that a single object produced them.  The grouping module estimates this
likelihood using the distance that separates edges and their relative
orientation.  This ordering greatly reduces the amount of computation
required to locate objects, and improves the systems robustness to
error.  

:aim 1183
:author Andrew Trice and Randall Davis
:asort Trice, A.; Davis, R.
:title Consensus Knowledge Acquisition
:date December 1989
:cost $3.25
:pages 25
:contract N00014-85-K-0124
:keyword knowledge acquisition, multiple experts, knowledge based
systems, debugging
:abstract
We have developed a method and prototype program for assisting two experts in
their attempts to construct a single, consensus knowledge base.  We show that
consensus building can be effectively facilitated by a debugging approach that
identifies, explains, and resolves discrepancies in their knowledge.  To
implement this approach we identify and use recognition and repair procedures
for a variety of discrepancies.  Examples of this knowledge are illustrated
with sample transcripts from {\sc carter}, a system for reconciling two
rule-based systems.  Implications for resolving other kinds of knowledge
representations are also examined.

:tr 1113
:author Karen Beth Sarachik
:asort Sarachik, K.
:title Visual Navigation: Constructing and Utilizing Simple Maps of an
Indoor Environment
:date March 1989
:cost $8.00
:pages 91
:keywords map making, mobile robot, motion vision, robot navigation,
stereo vision
:abstract
The goal of this work is to navigate through an office environment
using only visual information gathered from four cameras placed
onboard a mobile robot. The method is insensitive to physical changes
within the room it is inspecting, such as moving objects.  Forward and
rotational motion vision are used to find doors and rooms, and these
can be used to build topological maps.  The map is built without the
use of odometry or trajectory integration.  The long term goal of the
project described here is for the robot to build simple maps of its
environment and to localize itself within this framework.

:tr 1161
:author Lyle Borg-Graham
:asort Borg-Graham, L.
:title Modelling the Somatic Electrical Response of Hippocampal
Pyramidal Neurons
:date September 1989
:pages 295
:cost $10.00
:keywords computational neuroscience, hippocampus, modelling
:abstract
A modelling study of hippocampal pyramidal neurons is described.  This
study is based on simulations using HIPPO, a program which simulates
the somatic electrical activity of these cells.  HIPPO is based on
descriptions of eleven non-linear conductances that have been either
reported in the literature or postulated in the present study, and an
approximation of the electrotonic structure of the cell that is
derived in this thesis.  HIPPO is used a) to integrate
electrophysiological data from a variety of sources, b) to investigate
the functional significance of the elements underlying electrical
behavior, and c) to provide a tool for the electrophysiologist to
supplement direct observation of these cells and allow testing of
speculations regarding unobservable parameters.

:tr 1179
:author Marc H. Raibert, H. Benjamin Brown, Jr., Michael Chepponis,
Jeff Koechling, Jessica K. Hodgins, Diane Dustman, W. Kevin Brennan,
David S. Barrett, Clay M. Thompson, John Daniell Hebert, Woojin Lee,
Lance Borvansky
:asort Raibert, M.; Brown, H.B.; Chepponis, M.; Koechling, J.;
Hodgins, J.; Dustman, D.; Brennan, W.K.; Barrett, D.; Thompson, C.;
Hebert, J.; Lee, W.; Borvansky, L.
:title Dynamically Stable Legged Locomotion (September 1985-September
1989)
:date September 1989
:pages 203
:cost $9.00
:keyword robotics, legged locomotion, dynamic stability, gymnastics,
legged robots, robot control
:abstract
This report documents our work in exploring active balance for dynamic
legged systems for the period from September 1985 through September
1988.  The purpose of this research is to build a foundation of
knowledge that can lead both to the construction of useful legged
vehicles and to a better understanding of animal locomotion.  In this
report we focus on the control of biped locomotion, the use of terrain
footholds, running at high speed, biped gymnastics, symmetry in
running, and the mechanical design of articulated legs.