GENERAL: Machine Learning in Design.

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Subj: AID'94 Workshop on Machine Learning in Design

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Date: Wed, 9 Mar 1994 11:46:32 GMT
From: Alex Duffy <[email protected]>
Subject: AID'94 Workshop on Machine Learning in Design
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To: Howard Lawrence <[email protected]>
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MACHINE LEARNING IN DESIGN
==========================
workshop to be held prior to the
THIRD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN DESIGN
Swiss Federal Institute of Technology, Lausanne, Switzerland
15-18 August 1994



Design Learning vs Machine Learning
-----------------------------------




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=======================================================================

Overview
--------

The Machine Learning (ML) in Design workshop is part of the Artificial
Intelligence in Design '94 conference. This workshop is intended
to provide a forum for provocative discussion related to the
application and evolution of machine learning techniques in design.

To improve a product's quality or reduce the design cycle time
designers require the right information, at the right time.
Developments in computing technology present designers with ever
increasing amounts of information and improved access. Therefore,
the effective and efficient re-use of past design procedures and
product knowledge is becoming more critical in contemporary design.

Designers not only use information of specific experiences but also,
by learning and understanding salient issues, they can abstract or
generalise knowledge from those experiences. For example, they learn
how to carry out design, what key decisions need to be made and when,
what factors are crucial to decisions and what are the implications
of those decisions, about the product itself, it's life expectancy
and environment, it's manufacturability, the current state of
technology, trends in the market place, and a lot more besides.
Designers use their learned knowledge to create new designs (which
may be novel or innovative) in an attempt to produce not only feasible
but competitive products. Consequently, there is a growing realisation
that for future computer-based design systems to be more effective they
must continually evolve their state of knowledge to reflect new
experiences and that they must use that knowledge in all aspects of
design problem solving.

By supporting the learning process it can be argued that computer based
systems can become more effective tools which are better equipped to
aid designers make well-informed decisions. Machine Learning, whose
utility has been explored typically in chemistry, game-playing, image
recognition, and many other fields, provides a basis to capitalise on
the utility of inherent and explicit past design knowledge. However
the application of machine learning in design is relatively immature
and as such presents exciting and challenging issues to Machine
Learning and Intelligent CAD researchers alike.

=======================================================================

Purpose of the workshop
-----------------------

The purpose of the workshop is to explore the issues and requirements
of learning in design with a view of critically evaluating the current
and required support from machine learning techniques. The objective
is not only to identify key areas for future research but also to
stimulate synergy in the Machine Learning in Design research community.

=======================================================================

Workshop Format and Topics
--------------------------

The workshop will run for half a day prior to the main AI in Design
conference. Its format will depend upon submitted position papers but
is likely to consist of a number of small working groups tackling
identified issues and presenting their deliberations to the workshop
participants for discussion. Topics may address issues such as: How
can machine learning techniques be adapted or extended to support learning
in design? What are the limitations of ML in Design ? Why does design
present distinct challenges to ML research ? etc.

=======================================================================

Guidelines for Position Papers
-----------------------------

Position papers (in ascii or postscript form) of around three to four
pages should be submitted by email to [email protected] (Alex Duffy)
no later than the 2nd June 1994.

All accepted position papers will be distributed to the participants.

=======================================================================

Number of Participants
----------------------

To stimulate lively debate and constructive discussions numbers will
be restricted to around 20-30 participants. Admission, as determined
by a selected panel, will be based upon the expediency of the submitted
position papers and limited to attendees of the AI in Design conference.

Each participant will be charged a fee of SFr 75 to cover costs of
workshop notes, administration and refreshments.

=======================================================================

Co-ordinators/Organisers
------------------------

Convenor:
Dr Alex H B Duffy, University of Strathclyde, [email protected]

Co-Convenors:
Prof David C Brown, Worcester Polytechnic Institute, [email protected]
Prof Mary Lou Maher, University of Sydney, [email protected]


International Advisory Panel:
Dr Tomasz Arciszewski (USA)
Prof Ivan Bratko (Slovenia)
Dr Ashok Goel (USA)
Dr Yoram Reich (Israel)
Prof Derek Sleeman (UK)

=======================================================================

Further information
-------------------

If you require further information then please contact:

Dr Alex Duffy Postal Address: CAD Centre
JANET: [email protected] University of Strathclyde
Phone:+44-41-552-4400 Ext. 3005 75 Montrose Street
Fax :+44-41-552-3148 Glasgow G1 1XJ
Scotland, UK.
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