Configuration can be defined as the composition of a complex product
from instances of a set of component types taking into account
restrictions on the compatibility of those component types.
From the point of view of product configuration, different AI
approaches are well established as central technologies in industrial
configuration systems. However, the wide industrial use of
configuration technologies and the increasing size and complexity of
configuration problems makes the field more challenging than ever.
Nowadays, the Mass Customization paradigm is extended from traditional
physical products to the fields of software and service configuration.
Traditional configuration systems have evolved into interactive
web-based applications which need to support high-sophisticated
preference handling and explanation techniques.
Beside the configuration of physical products, real-world
applications of configuration technologies are also encountered in
domains such as computational biology, service composition, design,
image analysis, model-driven software engineering, and software
product lines. The ever-increasing range of real-world applications
triggers the demand to extend existing configurator functionalities.
A wide range of AI techniques provide major contributions in this
context: constraint satisfaction, description logics, logic
programming, case-based reasoning, learning, knowledge acquisition,
intelligent testing, and different specialized problem solving
As a successful AI application area, configuration has attracted
lasting industrial interest and renewed research, as demonstrated by
recent workshops on configuration
ECAI'08, AAAI'07, ECAI'06, IJCAI'05, ECAI'04, IJCAI'03, ECAI'02,
IJCAI'01, ECAI'00, AAAI'99, and the AAAI'96 Fall Symposium.
The goal of this special issue on configuration is to demonstrate
novel and innovative configuration research as well as new industrial
applications of configuration technologies. We encourage submissions
describing novel results involving AI in configuration-related areas,
including but not limited to:
- Theoretical issues justified by practical concerns;
- Methods for computing configurations and supporting configuration
- Methods for effective configuration knowledge base development,
testing & debugging;
- Configuration and product & service design, product & service
lifecycle management, and production management;
- Thorough case studies highlighting new practical problems, needs
- Practical and new applications based on a well-defined theory or
Also welcome are articles that survey different approaches and
thoroughly analyze their differences and commonalities.
Papers will be anonymously reviewed by at least two reviewers.
Quality papers not selected for this special issue may be considered
for standard publication in AIEDAM.
Information about the format and style required for
AIEDAM papers can be found at
The initial submission for this special issue must be
one file in PDF format with figures integrated into the paper.
Submit papers for review using the
Easychair submission system.
The special issue has been given an easychair ID of "AIEDAMConf2010".
If the paper is eventually accepted the rules for final submission
will be provided to you at that time.
Note that all enquiries and submissions for special issues
go to the Guest Editors, and not to the Editor in Chief.
Submission deadline: 6th April 2010
Notification and reviews to authors: 4th Aug 2010
Revised version submission deadline: 8th Sep 2010
Final notification: 29th Sep 2010
Final version submission deadline: 20th Oct 2010
Graz University of Technology
Institute of Software Technology
Inffeldgasse 16b, A-8010 Graz
E-mail: felfernig @ ist.TUGraz.at
University of South Australia, Adelaide
Advanced Computing Research Center
5095 Mawson Lakes SA, AUSTRALIA
E-mail: mst @ cs.unisa.edu.au
Helsinki University of Technology
Department of Computer Science and Engineering
POB 9210, FIN-02015 TKK, FINLAND
E-mail: juha.tiihonen @ tkk.fi