due to several requests, the deadline has been extended till May 11.
So, you still have time to update your papers or submit new ones!
Note also that QR has been scheduled finally to take place on Friday 13.
Please, widespread this call into your networks!
And all the best,
Co-located at IJCAI-ECAI-18, Stockholm, Sweden,
*NEW* Confirmed date: Friday July 13, 2018
Web Page: https://urldefense.proofpoint.com/v2/url?u=http-3A__homepages.abdn.ac.uk_pang.wei_pages_QR2018_index.html&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=czYgqpuWB1sP-iVTtUoyxFwb_XJIt2A2fylggMREWcg&s=lqnSY9_stqsulgEWesIJvCRjK7kUV086GItytq39nTE&e=
The Qualitative Reasoning (QR) community develops qualitative
representations 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.
* Qualitative modeling in physical, biological and social sciences, and in
* Representations and techniques for QR.
* Methods that integrate QR with other forms of knowledge representation
and computational approaches, including quantitative and semi-quantitative
methods and machine learning.
* Using QR for diagnosis, design, and monitoring of physical or biological
* Applications of QR, including education, science, and engineering.
* Cognitive models of QR, including the use of existing QR formalisms for
cognitive modeling and results from other areas of cognitive science for
* Using QR in understanding language, decision-making, sketches, images,
and other kinds of signals and data sources.
* Formalization, axiomatization, and mathematical foundations of QR.
* Submissions deadline: **May 11, 2018**
* Author notification: May 24-29, 2018
* Early registration date: **May 31, 2018**
* Camera-ready paper: June 15, 2018
Three types of submissions are sought: theory, application, and demo
* Theory contributions present novel ideas regarding representation and
reasoning, and position this result in the context of known QR theory.
* 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).
* 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.
* Submissions must be in PDF format and not exceed 8 pages.
* Submissions should be formatted according to the IJCAI author guidelines.
* Submissions do not need to be anonymized; the author list and the author
publications should read as they will in the camera-ready copy.
Review Process: All submissions will be evaluated 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 QR2018 Program Committee. Papers may be accepted for either oral
or poster presentation.
Papers should be submitted through the EasyChair platform at:
The accepted papers will be published as a collection of working papers.
The format of the publication will be discussed with the authors after
acceptance (eg. CEUR-ws.org or on-line without ISSN).
George M. Coghill (primary contact)
Department of Computing Science
University of Aberdeen, UK
Bremen Spatial Cognition Centre (BSCC)
Faculty of Computer Science and Mathematics
University of Bremen, Germany
Department of Computing Science
University of Aberdeen, UK
Nuria Agell, ESADE - Ramon Llull University, Spain
José V. Alvarez, Universidad de Valladolid, Spain
Elena Andonova, New Bulgarian University, Bulgaria
Mehul Bhatt, University of Bremen, Germany
Gautam Biswas, Vanderbilt University, USA
Stefano Borgo, ISTC CNR, Italy
Elizabeth Bradley, University of Colorado, USA
Bert Bredeweg, University of Amsterdam, The Netherlands
Ivan Bratko, University of Ljubljana, Slovenia
Tony Cohn, University of Leeds, UK
Maria Chang, IBM, USA
Juan J. Flores, Universidad Michoacana, Mexico
Ken Forbus, Northwestern University, USA
Christian Freksa, University of Bremen, Germany
Scott Friedman, Smart Information Flow Technologies, USA
Joanna Golińska-Pilarek, University of Warsaw, Poland
Luis Gonzalez-Abril, Universidad de Sevilla, Spain
Hans Guesguen, Massey University, New Zealand
Tomoya Horiguchi, Kobe University, Japan
Liliana Ironi, IMATI - CNR, Italy
Kamal Kansou, Centre de recherche Angers-Nantes, France
Alexandra Kirsch, University of Tübingen, Germany
Johan de Kleer, Palo Alto Research Center, USA
Matthew Klenk, Palo Alto Research Center, USA
Kate Lockwood, University of St. Thomas, USA
Andrew Lovett, Northwestern University, USA
Emilio Muñoz-Velasco, University of Malaga, Spain
Lledó Museros, University Jaume I, Spain
Chris Price, Aberystwyth University, Wales, UK
Mónica Sánchez, Universitat Politècnica de Catalunya, Spain
Paulo Santos, Centro Universitario FEI, Brasil
Qiang Shen, Aberystwyth University, Wales, UK
Carl Schultz, Aarhus University, Denmark
Steven Schockaert Cardiff University, UK
Peter Struss, Technical University München, Germany
Kazuko Takahashi, Kwansei Gakuin University, Japan
Stefania Tentoni, IMATI - CNR, Pavia, Italy
Louise Travé-Massuyès, LAAS-CNRS, France
Jan O. Wallgrün, Penn State University, USA
Diedrich Wolter, University of Bamberg, Germany
Jure Zabkar, University of Ljubljana, Slovenia
Dr.-Ing. Zoe Falomir Llansola
Twitter at @zfalomir
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