The ICCBR 2019 Organizers, Advisory Committee, and Program Committee invite submissions of original theoretical research, applied research and deployed application papers on all aspects of Case-Based Reasoning (CBR). ICCBR is the premier, annual meeting of the CBR community and the leading international conference on this topic. This year’s conference will take place at the European Academy of Otzenhausen, in Otzenhausen, Germany, September 8 - 12, 2019. The paper submission deadline is April 12, 2019.
Conference webpage: http://iccbr2019.com/
The theme for ICCBR 2019 is Explainable AI. To encourage this, the ICCBR 2019 program will include keynote addresses, a main technical track, a workshop program, a doctoral consortium, and other events, with several connections to this theme. We warmly welcome participation from all researchers and practitioners who have an interest in case-based reasoning, including those who are working on related topics but have not previously attended ICCBR.
Topics of Interest
We welcome submissions from all areas of case-based reasoning, and we especially encourage submissions at the intersection of CBR and Explainable AI. Topics of interest include (but are not limited to):
Foundations of Case-Based Reasoning
- Case representation
- Case retrieval, indexing, and similarity measures
- Case reuse, adaptation, revision, and combination
- Explanations
- Case authoring, elicitation, and visualization
- Analogical reasoning
- Confidence and uncertainty
- Cognitive modeling
- Context models and preferences
- Conversational CBR, user modeling, and personalization
- Distributed CBR
- Evaluation, simulation, and prediction
- Maintenance, post-mortem analysis, and quality assessment
CBR tasks
- Design
- Planning
- Social CBR
- Textual CBR
- Recommender systems
- Temporal reasoning (e.g., reasoning with traces, time series)
- Workflow management and process-oriented CBR
CBR and related fields
- Analogical reasoning, cognitive models, and creative reasoning
- Cloud CBR
- Data mining and big data
- Intelligent agents, perception, and action
- Machine learning (e.g., deep, instance-based/lazy, relational)
- Natural language processing and information retrieval
- Robotics and human-robot interaction
- Web CBR
CBR systems, applications and lessons learned
- CBR architectures and development frameworks
- Cooking
- Diagnosis, technical support
- E-science
- Economics, finance
- Education, learning
- Energy, logistics, traffic
- Finance
- Game AI
- Knowledge and experience management
- Medicine, health
- Science, engineering