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Qualitative Reasoning 2026
https://dwolter.github.io/qr26/

Workshop at IJCAI in Bremen, Germany
August 14 or 15, 2026

Call for Papers and Contributions
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Paper submission: May, 15
Notification of acceptance: June, 12
Workshop: August, 15 or 16 (TBA) at IJCAI, Bremen
Submission link: https://easychair.org/conferences/?conf=qr2026

Qualitative Reasoning (QR) is involved with the development and application of qualitative representations to understand the world from incomplete, imprecise, or uncertain data. Qualitative representations are explicit symbolic representations that may not require numerical quantities. Qualitative models have successfully been applied to natural systems (e.g., physics, biology, ecology, geology), social systems (e.g., economics, cultural decision-making), cognitive systems (e.g., conceptual learning, spatial reasoning, intelligent tutors, robotics), and more. The QR community includes researchers in artificial intelligence, cognitive science, applied mathematics, engineering, and natural Sciences, commonly seeking to understand, develop, and exploit the ability to reason qualitatively.

We are inviting original research works, system demonstrations, and further contributions to qualitative representation and reasoning. Topics of interest broadly include:
- Qualitative modeling in physical, biological and social sciences, in engineering or other disciplines.
- Methods that integrate QR with other forms of knowledge representation, including quantitative methods, machine learning and other formalisms.
- Using QR for diagnosis, decision-making, design, or monitoring of systems.
- Applications of QR, in domains such as education, engineering, and science.
- Cognitive models of QR, including the use of existing QR formalisms for cognitive modeling and results from other areas of cognitive science for qualitative reasoning.
- Using QR in natural language or visual understanding and other kinds of signals and data sources.
- Formalization, axiomatization, and mathematical foundations of qualitative knowledge representation and reasoning algorithms

Three types of submissions are sought: research papers (original contributions and summaries), application, and demo oriented:
- Research contributions present novel ideas or theoretical advancements regarding representation and reasoning, and position this result in the context of known QR theory (full or short paper).
- Research contributions may also summarize accepted contributions at another venue (typically an AI conference or a journal) in order to present and discuss the works in the QR community (short paper).
- Application contributions present the use and evaluation of software implementing QR theory in actual real-world contexts. Evaluations can range from technology oriented (e.g. address software functioning in operational contexts) to human oriented (e.g. address usability or stakeholders and market related issues). Application contributions may be submitted as either full or short paper.
- Demos focus on (novel) implementations of QR theory in software. They can be proof of concepts, but also mature products. Contributions typically address the extras needed to realize the implementation. Typically, demos would be submitted as short paper.

For submission details such as formatting please see the workshop homepage at https://dwolter.github.io/qr26/

We are looking forward to discuss you work at QR 2026 in Bremen!
Zoe Falomir (Umeå University, Sweden) and Diedrich Wolter (University of Lübeck, Germany), PC Chairs of QR 2026