[CogSci] QR2020 - CFP

[Zoe Falomir]

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QR2020: 33rd International Workshop on Qualitative Reasoning

 CALL FOR PAPERS (https://easychair.org/cfp/QR2020)
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Co-located at ECAI-20, Santiago de Compostela, Spain, June 8-12, 2020

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Web Page: https://sme.uni-bamberg.de/qr2020
Submission link: https://easychair.org/conferences/?conf=qr2020
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INTRODUCTION
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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 ECAI-20, Santiago de Compostela, Spain, June
8-9, 2020

TOPICS
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Topics of interest include:

Qualitative modeling in physical, biological and social sciences, and
in engineering.
QR to capture common sense reasoning.
Methods that integrate QR with other forms of knowledge
representation, including quantitative methods.
Integration of QR and machine learning, for example learning
qualitative representations or improve machine learning by means of
QR.
Using QR for diagnosis, design, and monitoring of physical systems.
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 qualitative reasoning. 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
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We invite submission of
technical papers (full paper/short paper)
summary papers (short paper)
application or demo papers.

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 QR2020 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 QR2020 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 ECAI guidelines, available from the ECAI
web page, and must be in PDF format. The workshop is also open to
people who would like to attend without submitting a paper.

Important Dates
March 15, 2020: submission deadline
April 15, 2020: notification of acceptance
May 18, 2020: camera-ready papers due
June 8 or 9 (TBA), 2020: QR2020 at ECAI

ORGANISATION
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Program Co-Chairs:
Nuria Agell, ESADE - Ramon Llull University
Zoe Falomir, University of Bremen
Lledó Museros, Universitat Jaume
Diedrich Wolter, University of Bamberg

Program Comittee:
José V. Álvarez Bravo, Universidad de Valladolid
Cecilio Angulo, Universitat Politècnica de Catalunya
Mehul Bhatt, University of Örebro
Stefano Borgo, Laboratory for Applied Ontology, ISTC-CNR
Bert Bredeweg, University of Amsterdam
George Coghill, University of Aberdeen
Juan J. Flores, Universidad Michoacana
Ken Forbus, Northwestern University
Scott Friedman, SIFT
Joanna Golińska-Pilarek, University of Warsaw
Luis Gonzalez-Abril, Universidad de Sevilla
Hans Guesgen, Massey University
Tomoya Horiguchi, Kobe University
Liliana Ironi, IMATI-CNR
Andrew Lovett, Northwestern University
Emilio Muñoz, Universidad de Málaga
Juan Antonio Ortega, Universidad de Sevilla
Wei Pang, University of Aberdeen
Ismael Sanz, University Jaume I
Steven Schockaert, Cardiff University
Qiang Shen, Aberystwyth University
Peter Struss, Technical University of Munich
Kazuko Takahashi, Kwansei Gakuin University
Louise Travé-Massuyès, LAAS-CNRS
Jan Oliver Wallgrün, Penn State University
Jure Zabkar, University of Ljubljana

-- 
Dr.-Ing. Zoe Falomir Llansola
Senior Researcher

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