CALL FOR PAPERS
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KI2018 - The 41st German Conference on Artificial Intelligence

September 24-28th, 2018, Berlin, Germany

http://ki2018.dai-labor.de

co-located with the INFORMATIK 2018 conference


SCOPE
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The German conference series on Artificial Intelligence (KI) provides an international and interdisciplinary forum for the presentation and discussion of latest results of basic and applied research on AI for innovative intelligent systems in industry and business, as well as for our private and social life. The series is supported by the AI chapter of the German Society for Informatics.

The 41st edition (KI 2018) offers a competitive set of tutorials, workshops, three invited keynotes by distinguished experts of AI (including one joint keynote on Ethics for AI), a doctoral consortium, special topical sessions, and issues a Best Paper Award.

The proceedings of KI 2018 are published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series.


IMPORTANT DATES
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Abstract Submission: April 30th, 2018
Full/Short Paper Submission: May 7th, 2018
Notification of Acceptance: June 15th, 2018
Final Version Due: July 2nd, 2018
Workshop, Tutorials, and Doctoral Consortium: are announced in separate calls



TOPICS OF INTEREST
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You are invited to submit original research and application papers on all aspects of AI research, including but not limited to the following:

* Agent-based and multi-agent systems
* AI applications and innovations
* Belief change
* Cognitive modelling, AI and psychology
* Commonsense reasoning
* Computer vision
* Constraint satisfaction, search, and optimization
* Diagnosis and configuration
* Evolutionary computation
* Game playing and interactive entertainment
* Information retrieval, integration, and extraction
* Knowledge engineering and ontologies
* Knowledge representation and reasoning
* Knowledge discovery and data mining
* Machine learning
* Multidisciplinary AI
* Natural language processing
* Nonmonotonic reasoning and default logics
* Philosophical foundations of AI
* Planning and scheduling
* Recommender systems
* Robotics
* Uncertainty in AI
* Web and information systems

We especially welcome application papers that provide novel insights on the interplay of AI and the real world, as well as papers that bring useful computational technologies from other areas of computer science into AI.


SUBMISSION
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We invite papers, which have to be in English and formatted according to the Springer LNCS style, in the following two categories

Full technical papers (12 pages max., excluding references) are expected to report on new research that makes a substantial technical contribution to the field. Additional details may be included in an appendix, which, however, will be read at the discretion of the PC.
Technical communications (6 pages max., excluding references) can report on research in progress or other issues of interest to the AI community. Examples of work suitable for technical communication paper submissions include novel ideas whose scope is not large enough for a full paper; important implementation techniques; novel interesting benchmark problems; short experimental studies; interesting applications that are not yet completely solved or analysed; position or challenge papers. Technical communication submissions are especially invited for software demonstration or PhD work in progress.
Submission will be through the EasyChair conference management system. All papers will be subject to blind peer review based on the standard criteria of relevance, the significance of results, originality of ideas, soundness, and quality of the presentation. If you have used the EasyChair conference management system before, you can use the same username and password. If this is your first time using EasyChair, you will need to register for an account by clicking ‘I have no EasyChair account’ button. Upon completion of registration, you will get a notification email from the system and you are ready for submitting your paper. You can upload and re-upload the paper to the system by the submission due date. Paper submission is electronic. To submit, please prepare a PDF file of your paper, a short abstract in plain text, and a list of two to five keywords. Submission is possible via the following link:

https://easychair.org/conferences/?conf=ki2018

All accepted papers will be published in the main conference proceedings and will be presented at the conference. The KI 2018 proceedings will be published by Springer as a volume of the LNAI series (Lecture Notes in Artificial Intelligence). At least one author of each accepted paper must register for the conference and present the contribution.

The most outstanding submission will be recognized with a best paper award at the conference.


ORGANIZATION
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General Chair
Sahin Albayrak, TU Berlin

Programm Chairs
Frank Trollmann, TU Berlin
Anni-Yasmin Turhan, TU Dresden

Workshop and Tutorial Chair:
Oezguer Oezcep, Universität zu Lübeck

Doctoral Consortium Chair
Johannes Fähndrich, GT-ARC Berlin

Program Committee:
Sebastian Ahrndt, TU Berlin
Franz Baader, TU Dresden
Christian Bauckhage, Fraunhofer-Institut für Intelligente Analyse- und
Informationssysteme
Christoph Beierle, University of Hagen
Ralph Bergmann, University of Trier
Leopoldo Bertossi, Carleton University
Ulf Brefeld, Leuphana Universität Lüneburg
Gerhard Brewka, Leipzig University
Philipp Cimiano, Bielefeld University
Juergen Dix, Clausthal University of Technology
Igor Douven, Paris-Sorbonne University
Didier Dubois, IRIT/RPDMP
Johannes Fähndrich, TU Berlin
Holger Giese, Hasso Plattner Institut, Potsdam
Fabian Gieseke, University Copenhagen
Carsten Gips, FH Bielefeld
Lars Grunske, Humboldt-Universität zu Berlin
Malte Helmert, University of Basel
Leonard Henning, DFKI
Joerg Hoffmann, Saarland University
Steffen Hölldobler, TU Dresden
Jean Christoph Jung, Universität Bremen
Gabriele Kern-Isberner, TU Dortmund
Kristian Kersting, TU Darmstadt
Roman Klinger, Universität Stuttgart
Matthias Klusch, DFKI
Oliver Kramer, Universität Oldenburg
Ralf Krestel, Hasso Plattner Institute
Torsten Kroeger, KIT
Lars Kunze, University of Oxford
Gerhard Lakemeyer, RWTH Aachen University
Thomas Lukasiewicz, University of Oxford
Marco Lützenberger, TU Berlin
Till Mossakowski, University of Magdeburg
Eirini Ntoutsi, Leibniz Universität Hannover & L3S Research Center
Ingrid Nunes, Universidade Federal do Rio Grande do Sul, Brazil
Maurice Pagnucco, The University of New South Wales
Heiko Paulheim, University of Mannheim
Rafael Peñaloza, Free University of Bozen-Bolzano
Giuseppe Pirrò, Institute for High Performance Computing and Networking
Gabriele Röger, University of Basel
Guenter Rudolph, TU Dortmund University
Sebastian Rudolph, TU Dresden
Klaus-Dieter Schewe, Software Competence Center Hagenberg
Ute Schmid, University of Bamberg
Lars Schmidt-Thieme, University of Hildesheim
Lutz Schröder, Friedrich-Alexander-Universität Erlangen-Nürnberg
Steffen Staab, University Koblenz-Landau and WAIS, University of Southampton
Heiner Stuckenschmidt, University of Mannheim
Matthias Thimm, Universität Koblenz-Landau
Paul Thorn, HHU
Toby Walsh, The University of New South Wales
Stefan Woltran, Vienna University of Technology


SUPPORTED BY
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* German Computer Society for Informatics / Gesellschaft für Informatik e.V. - Section for Artificial Intelligence / Fachbereich Künstliche Intelligenz
* Springer-Verlag GmbH