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ICCBR 2026 : 34th International Conference on Case-Based Reasoning

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Conference Series : International Conference on Case-Based Reasoning
 
Link: https://2026.iccbr.org/
 
When Aug 13, 2026 - Aug 16, 2026
Where Bremen
Submission Deadline Mar 20, 2026
Notification Due Apr 28, 2026
Final Version Due May 20, 2026
Categories    AI   case-based reasoning   similarity-based retrieval   analogical reasoning
 

Call For Papers

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Call for Papers for ICCBR 2026
the 34th International Conference on Case-Based Reasoning
August 13–16, 2026, in Bremen (Germany)
https://2026.iccbr.org/
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SCOPE AND VENUE
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The International Conference on Case-Based Reasoning (ICCBR) is the premier annual meeting of the case-based reasoning (CBR) community and the leading international conference on this topic.
The ICCBR 2026 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). This year’s conference will take place at the University of Bremen, Germany, from August 13–16, 2026. The paper submission deadline is March 20, 2026. Notification of acceptance will be sent by April 28, 2026, with the final version due by May 20, 2026.

Conference webpage: https://2026.iccbr.org

We warmly welcome participation from all researchers and practitioners who are interested in case-based reasoning, including those who are working on related topics but have not previously attended ICCBR. In addition, we encourage participation from early-career researchers and underrepresented groups in the field.

Topics of Interest
We welcome submissions relevant to all areas of CBR, including (but not limited to):

Foundations
- Case authoring, elicitation, and visualization
- Case representation
- Case retrieval, indexing, and similarity measures
- Case reuse, adaptation, revision, and combination
- Case-based maintenance
- Memory-Based Reasoning
- Confidence and uncertainty
- Evaluation, simulation, and prediction
- Explanations
- Similarity metric and adaptation knowledge learning

CBR and Related Fields
- ‘Modern’ CBR
- Analogical reasoning, cognitive models, and creative reasoning
- Cloud CBR
- Counterfactual learning and reasoning
- Explainable AI (XAI)
- Intelligent agents, perception, and action
- Internet of Things
- Data mining and big data
- Machine learning (e.g., deep, instance-based/lazy, relational)
- Natural language processing and information retrieval
- Robotics and human-robot interaction
- Web CBR
- CBR and Large Language Models (LLMs)
- CBR and Retrieval-Augmented Generation (RAG)

CBR Tasks
- CBR Planning
- Conversational CBR
- Design
- Distributed CBR
- Recommender Systems
- Social CBR
- Temporal Reasoning (e.g., reasoning with traces, time series)
- Textual CBR
- User Modeling and Personalization
- Workflow management and process-oriented CBR

CBR Systems and Applications
- AI for the Social Good
- CBR architectures and frameworks
- Cooking
- Diagnosis, technical support
- E-science, cyberinfrastructure, scientific workflows
- Economics, finance
- Education (including distance learning)
- Energy, logistics, traffic
- Game AI
- Knowledge and experience management
- Medicine, health
- Science, engineering

Review Criteria
Each submission must be identified as presenting (1) theoretical/methodological research, (2) applied research/emerging applications, or (3) a deployed application. The submissions will be assessed in a single-blind review using criteria appropriate to its category. These criteria are as follows:

- Theoretical/methodological research: Scientific significance, originality, technical quality, and clarity;

- Applied research/emerging applications: Significance for theoretical research or promise for application deployment;

- Deployed application: Demonstrated practical significance; originality; treatment of issues of engineering, management, and user acceptance; and clarity;

Papers will be considered for poster or oral presentation based on the reviews and the most effective mode of presenting them to the ICCBR audience.

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SUBMISSION OF PAPERS
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Authors must submit a full paper by the conference paper submission deadline and follow the Springer LNCS formatting guidelines (https://www.springer.com/gp/authors-editors/conference-proceedings/conference-proceedings-guidelines), including a LaTeX template for consistent typesetting (https://overleaf.com/read/kxtrhfvdzjdr#c03410). Papers (submitted and final) should be no longer than 14 pages, with additional 2 pages for acknowledgments, the generative AI statement, and the references. Please submit papers using the EasyChair conference management system. The EasyChair submission link will be announced as soon as it is available.

Multiple Submission Policy
Papers submitted to other conferences must state this fact as a footnote on page 1, and the program co-chairs, Lukas Malburg and Kerstin Bach (chairs@iccbr.org), must be notified by email. If a paper appears in another conference or journal, it must be withdrawn from ICCBR 2026.

Author Registration Policy
At least one author of each accepted paper must register for the conference by the camera-ready copy deadline, and one person can register a maximum of one paper. Papers must be presented by one of the authors at the conference in person. Video presentations are not permitted. Papers that are not presented at the conference will be withdrawn and excluded from the Springer conference proceedings.

Publication
Conference proceedings will be published in the theme series Lecture Notes in Computer Science (LNCS) and in the Lecture Notes on Artificial Intelligence (LNAI) sub-series.

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IMPORTANT DATES
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- March 20, 2026: Paper Submission Deadline
- April 28, 2026: Paper Acceptance/Rejection Notification Deadline
- May 20, 2026: Camera-Ready Copy for Accepted Papers & Author Registration Deadline
- August 13-16, 2026: ICCBR Conference Dates

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CONTACT
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If you have further inquiries or general questions, please contact the program co-chairs Lukas Malburg and Kerstin Bach at chairs@iccbr.org

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