AIEDAM Special Issue, Spring 2011, Vol.25, No.2

Edited by : Alexander Felfernig, Markus Stumptner & Juha Tiihonen

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 methods.

As a successful AI application area, configuration has attracted lasting industrial interest and renewed research, as demonstrated by recent workshops on configuration at IJCAI'09, 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 tasks;
  • 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 and experiences;
  • Practical and new applications based on a well-defined theory or model.
  • 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 here.

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.

Important dates:
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
Guest editors:

Alexander Felfernig
Graz University of Technology
Institute of Software Technology
Inffeldgasse 16b, A-8010 Graz
E-mail: felfernig @

Markus Stumptner
University of South Australia, Adelaide
Advanced Computing Research Center
5095 Mawson Lakes SA, AUSTRALIA
E-mail: mst @

Juha Tiihonen
Helsinki University of Technology
Department of Computer Science and Engineering
POB 9210, FIN-02015 TKK, FINLAND
E-mail: juha.tiihonen @