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CFP: IJCAI-O! Workshop on Empirical AI
[ apologies if you receive this message more than once ]
The IJCAI-01 Workshop on
EMPIRICAL METHODS IN ARTIFICIAL INTELLIGENCE
August 4, 2001, Seattle, USA
Workshop Description
=====================
In many areas of AI, experiments are the primary means of
demonstrating the value and potential of new techniques. It is widely
recognized that appropriate empirical approaches often yield new
insights into algorithms and systems, and often lead to new research
issues, which may be both of experimental and theoretical nature. Thus
empirical methods for analysing and comparing algorithms and systems
are of considerable interest to many AI researchers.
The workshop will bring together researchers from different areas of
AI where empirical methods are used to analyse and evaluate algorithms
and systems.
Workshop topics will include:
==============================
-- the design of computational experiments
-- performance criteria for algorithms and systems
-- methods for analysing, characterising, and comparing algorithmic
performance
-- the choice of problem sets - benchmark problems, artificially
generated problems, etc.
-- the role of theoretical models in experiments
-- studies from various fields of AI which exemplify good empirical
methodology and its value for obtaining interesting results.
The domains of interest will cover constraint satisfaction, knowledge
acquisition, machine learning and neural networks, natural language
processing, planning, reasoning about knowledge, robotics,
satisfiability, search techniques, speech recognition, theorem
proving, and vision.
Format
=======
This one-day workshop will start with an invited talk, followed by
survey talks in which leading experts will discuss and compare
empirical standards in their domains (rather than present the most
recent results of their research). Issues raised by the presentations
will then be discussed by all workshop participants. Additionally, we
are planning to have 1-2 panels (the topics of these panels will be
decided based on the submissions) in which panelists first present
their position regarding possibly controversial issues, in a 10 minute
exposition.
A joint lunch or dinner will provide further opportunities for an
informal exchange of experiences and ideas.
This workshop on Empirical Methods in Artificial Intelligence will be
coordinated with the IJCAI-01 Workshop on ``Stochastic Search
Algorithms'' (organised by Holger H. Hoos and Thomas Stuetzle) and the
IJCAI-01 Tutorial on Stochastic Search (held by Holger H. Hoos and
Thomas Stuetzle).
Important Dates
================
-- Submission deadline: February 28, 2001
-- Notification of acceptance: March 29, 2001
-- Camera-ready copy deadline: April 11, 2001
-- Workshop: August 4, 2001
Submission Procedure
=====================
We ask authors to submit technical papers or position papers either in
Postscript or PDF. Every participant is expected to submit at least a
1-page statement of interest.
Technical papers should address one or more of the workshop
topics. Position papers should describe and justify your view on one
or more topics relevant to this workshop. The paper should be
reasonably concise; technical papers should be in the range from 4 to
6 pages in IJCAI or AAAI conference style, position papers should be
about 1000 words. Submissions should be printed on 8.5" x 11" or A4
paper with at least 1 inch margins on all sides. The first page of the
position paper should include the title, a brief abstract, and author
names, affiliations, postal addresses, electronic mail addresses, and
telephone and fax numbers.
To submit a paper, email it (or a URL pointer to it) to hoos@cs.ubc.ca
and stuetzle@informatik.tu-darmstadt.de.
The number of participants is limited to 40 participants; participants
will be selected based on the submitted position paper. All
participants are expected to contribute to the discussions in the
workshop.
Note that all workshop participants must register for the main
IJCAI-01 conference.
Cochairs
=========
Holger H. Hoos
Dept. of Computer Science
University of British Columbia
Vancouver, BC, V6T 1Z4, Canada
Email: hoos@cs.ubc.ca
WWW: www.cs.ubc.ca/~hoos
Thomas Stuetzle
Dept. of Computer Science, Intellectics Group
Darmstadt University of Technology
D-64283 Darmstadt, Germany
Email: stuetzle@informatik.tu-darmstadt.de
WWW: www.intellektik.informatik.tu-darmstadt.de/~tom
Organisation Committee
=======================
Ian Gent, University of St Andrews, United Kingdom
Tim Menzies, University of British Columbia, Canada
Barbara Smith, University of Leeds, United Kingdom
Geoff Sutcliffe, James Cook University, Australia
Additional Information
=======================
http://www.intellektik.informatik.tu-darmstadt.de/~tom/IJCAI01/ijcai2001-empai.h
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