Qualitative Reasoning is an exciting research area of Artificial Intelligence that combines the quest for fundamental understanding of effective reasoning about physical systems and new ways to supplement conventional modelling, analysis, diagnosis, and control techniques to tackle real-world applications. Following the continued success of the annual international Qualitative Reasoning workshop, the 17th edition of the workshop will be held in Brasília, the new city inaugurated in 1960 in the centre of Brazil. Brasília is the only 20th century city included by Unesco in the World Heritage.

The 17th edition of the Qualitative Reasoning (QR) workshop will bring together the art of the following research topics:

• QR techniques (e.g., qualitative simulation, ontologies, management of multiple models, reasoning over time and space, mathematical formalizations of QR, qualitative algebras, qualitative dynamics, qualitative kinematics, qualitative optimization);

• Task-level reasoning (e.g., design, planning, monitoring, diagnosis and repair, explanation, tutoring and training, process control and supervision);

• QR and cognitive modelling (e.g., QR models for spatial reasoning, cognitive maps, cognitive robots, cognitive theories of reasoning about physical systems, models of human reasoning);

• QR applications in engineering, education, and business (e.g., descriptions of application problems and solutions; applications in designing educational and tutoring systems, applications dealing with: real-time responses, large scale models and scaling techniques in general, different knowledge sources);

• QR techniques and conventional approaches (e.g., system dynamics and bond-graphs, signal processing, numerical methods, statistical techniques, differential equations);

• Methodological issues (e.g., classifying and relating QR approaches, evaluating QR approaches, criteria for selecting methods);

• Knowledge acquisition methods (e.g., model building tools and techniques, automated model construction and machine learning, acquisition of models from data);

• (New) application areas (e.g., biology, chemistry, ecology, economics, social science, environmental science, medicine, and law).

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• Posters A PDF (preferred), PostScript, or MSWord file of the full paper not to exceed 2000 words (excluding references) must be submitted via e-mail to mailto:qr03submit@aber.ac.uk@swi.psy.uva.nl by April 12, 2003.

• Review Process Both papers and posters will be selected according to their quality, significance, originality, and potential to generate discussion. Each contribution will be reviewed by at least two referees from the QR2003 Program Committee.

• Submission to Conferences or Journals The accepted papers will be published as a collection of Working papers. As QR2003 is a workshop, not a conference, submission of the same paper to conferences or journals is acceptable.

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