The 28th International Workshop on Qualitative Reasoning will be held:

  • In Minneapolis, MN, USA.
  • From August 10-11, 2015.
The schedule is posted here.


We build qualitative models to predict and understand our world from incomplete, imprecise, or uncertain data. Our qualitative models span natural systems (physics, biology, ecology, geology), social systems (economics, cultural decision-making), cognitive systems (conceptual learning, spatial reasoning, intelligent tutors, robotics), and more.

The qualitative reasoning (QR) community includes researchers in Artificial Intelligence, Engineering, Cognitive Science, and Natural Sciences, commonly seeking to understand, develop, and exploit the ability to reason qualitatively. This broadly includes:

  • Developing new formalisms and algorithms for general qualitative reasoning.
  • Building and evaluating predictive, prescriptive, diagnostic, or explanatory qualitative models in novel domains.
  • Characterizing how humans learn and reason qualitatively about the world with incomplete knowledge.
  • Developing novel, formal representations to describe central aspects of our world: time, space, change, uncertainty, causality, and continuity.
The International Workshop on Qualitative Reasoning provides a forum for researchers from multiple perspectives to share research progress toward these goals. The workshop will be held at the Minneapolis, MN campus of the University of St. Thomas and at SIFT, August 10-11, 2015, in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI).

  • Qualitative knowledge representation & reasoning (KR&R) in physical, biological and social sciences.
  • Qualitative KR&R for mitigating uncertainty, incompleteness, or imprecision.
  • Integrating qualitative methods with quantitative, statistical methods and other formalisms.
  • Qualitative KR&R for diagnosis, design, and monitoring of physical systems.
  • Applications of qualitative reasoning, including education, science, and engineering.
  • Cognitive models using qualitative KR&R.
  • Qualitative reasoning in understanding language, sketches, images, and other kinds of signals and data sources.
  • Formalization, axiomatization, and mathematical foundations of qualitative reasoning.

Important Dates:
  • Submission deadline: April 10, 2015 May 4, 2015
  • Notifications: June 16, 2015
  • Early registration deadline: TBD
  • Late breaking papers: June 12, 2015 June 26, 2015
  • Late breaking paper notifications: June 30, 2015
  • Camera-ready copy deadline: July 16, 2015
Please consult the QR 2015 submission page for formatting instructions and submission details.
Program Chairs:
  • Kate Lockwood, University of St. Thomas
  • Scott Friedman, Smart Information Flow Technologies (SIFT)
Program Committee:
  • Núria Agell, ESADE - Ramon Llull University
  • Mehul Bhatt, University of Bremen
  • Gautam Biswas, Vanderbilt University
  • Stefano Borgo, ISTC CNR
  • Ivan Bratko, University of Ljubljana
  • George Coghill, University of Aberdeen
  • Johan de Kleer, PARC
  • Ken Forbus, Northwestern University
  • Christian Freksa, University of Bremen
  • Tomoya Horiguchi, Kobe University
  • Liliana Ironi, IMATI - CNR
  • Matthew Klenk, PARC
  • Benjamin Kuipers, University of Michigan
  • Andrew Lovett, Northwestern University
  • Chris Price, Aberystwyth University
  • Paulo Salles, University of Brasilia
  • Mónica Sánchez, Universitat Politècnica de Catalunya
  • Qiuang Shen, Aberystwyth University
  • Peter Struss, Technical University Munchen
  • Thora Tenbrink, Bangor University
  • Stefania Tentoni, IMATI - CNR, Pavia
  • Louise Travé-Massuyès, LAAS-CNRS
  • Jure Zabkar, University of Ljubljana

In Cooperation With:

University of St. Thomas
Smart Information Flow Technologies
Association for the Advancement
of Artificial Intelligence

28th International Workshop on Qualitative Reasoning
August 10-11, 2015
Minneapolis, MN