Call for papers

The Qualitative Reasoning (QR) community develops qualitative representations and reasoning algorithms to understand the world from incomplete, imprecise, or uncertain data. Our qualitative models span 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, Engineering, Cognitive Science, Applied Mathematics, and Natural Sciences, commonly seeking to understand, develop, and exploit the ability to reason qualitatively. This broadly includes: Developing new formalisms and algorithms for qualitative reasoning. Building and evaluating predictive, prescriptive, diagnostic, or explanatory qualitative models in novel domains. Characterizing how humans learn and reason qualitatively about the (physical) 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 QR provides a forum for researchers from multiple perspectives to share research progress toward these goals. The workshop will be held at IJCAI-19, Macao, China, August 10-12, 2019

Topics

Topics of interest include:

Submissions

We invite submission of Technical papers present novel ideas regarding representation and reasoning, and position this result in the context of known QR theory. For research-in-progress and late-breaking brilliant ideas, submission of short papers are welcome. We particularly encourage young researchers to submit. We also invite authors who recently published results of interest to the QR community to submit a short summary paper which highlights the results and explains relevance to QR. Application contributions present the use and evaluation of software implementing QR theory in real world applications. 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). 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. All contributions must be submitted via the the instructions on this workshop website. All submissions must be in PDF format and not exceed 6 pages for full papers (plus one for references), and 3 pages for short papers (plus one for references). Formatting instructions and additional information will be available on the workshop website. All submissions will be evaluated in a peer review process and selected according to their quality, significance, originality, and potential to generate discussion. Each contribution will be reviewed by at least two referees from the QR2019 Program Committee. Papers may be accepted for either oral or poster presentation.

The accepted papers will be published as a collection of working papers. As QR2019 is a workshop, not a conference, submission of the same paper to conferences (e.g. AAAI or IJCAI) or journals is acceptable. To accommodate the publishing traditions of different fields, authors of accepted papers can ask that only a one-page abstract of the paper appear in the proceedings. Papers should be formatted according to the IJCAI guidelines, available from https://www.ijcai19.org/, and must be in PDF format. The workshop is also open to people who would like to attend without submitting a paper.