(see also https://easychair.org/cfp/KI2019)
The German conference on Artificial Intelligence (abbreviated KI for “Künstliche Intelligenz”) has developed from a series of inofficial meetings and workshops, organized by the German “Gesellschaft für Informatik” (association for computer science, GI), into an annual conference series dedicated to research on theory and applications of intelligent system technology. While KI is primarily attended by researchers from Germany and neighboring countries, it warmly welcomes international participation.
Conference website: http://www.ki2019.de
The KI 2019 conference takes place in Kassel, Germany, September 23th-26th 2018, and will be held in conjunction with the 49th Annual Conference of the German Computer Science Association: INFORMATIK 2019 (http://informatik2019.de).
Note: The early bird registration deadline for the conference will be extended until July 3rd for autors of accepted papers.
Submission Guidelines
We invite papers, which have to be in English and formatted according to the Springer LNCS style, in the following three 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 analyzed; position or challenge papers. Technical communication submissions are especially invited for software demonstration or PhD work in progress.
— Abstracts of papers accepted at (most recent editions of) major AI conferences (3 pages max., excluding references) are welcome to bring together German members of the international AI community. Abstracts of accepted papers will be evaluated based on the ranking of the venue it has been accepted for. We especially invite abstract of papers from A or A* ranked AI conferences.
Submission will be through the EasyChair conference management system.
The submission link is: https://easychair.org/conferences/?conf=ki2019
Full papers and technical communications will be subject to blind peer review based on the standard criteria of relevance, significance of results, originality of ideas, soundness, and quality of the presentation. Papers accepted in this process will be published in the main conference proceedings, published by Springer in the LNAI seriesand will be presented at the conference. At least one author of each accepted paper must register for the conference and present the contribution. The 3 page paper abstracts will be bundled and included in an preface or appendix section of the conference proceedings.
Important Dates (deadline extension!)
May 12 19 (AoE): Paper registration in EasyChair
May 17 24 (AoE): Paper submission
Jun 28: Notifications
Jul 12: Final versions
List of Topics
KI 2019 will have a special focus on “AI methods for Argumentation” and we especially invite contributions that use methods from all areas of AI to understand, formalize or generate argument structures in natural language. The special focus will be organized in cooperation with the DFG funded priority program “RATIO: Robust Argumentation Machines”.
Besides this special focus, KI 2019 invites 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
- Argumentation in AI
- 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
- Interactive and automated theorem proving
- 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
- Responsible AI, normative reasoning
- Robotics
- Uncertainty in AI
- Web and information systems
