Call for Papers

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.

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.

Important Dates

Submission
March 20, 2026
Notification
April 28, 2026
Camera-Ready Copy & Author Registration
May 20, 2026
Conference Dates
August 13–16, 2026

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

Authors must indicate one of the following submission categories:

  • Theoretical / Methodological Research
  • Applied Research / Emerging Applications
  • Deployed Applications

All submissions will be reviewed in a single-blind process using a common set of evaluation criteria. Regardless of category, papers will be assessed based on:

  • Scientific significance – the contribution to the field and its relevance to the ICCBR community;
  • Originality – the novelty of the ideas, methods, insights, or applications presented;
  • Technical quality – the soundness and rigor of the approach, methodology, analysis, and evaluation;
  • Clarity – the organization, quality of writing, and transparency of the presentation;
  • Reproducibility – the extent to which methods, data (where possible), experimental settings, and implementation details are described sufficiently to allow independent verification or replication.

While the same criteria apply to all submission categories, reviewers will evaluate contributions in light of the paper type (e.g., methodological rigor for theoretical work and robustness and validation for deployed systems).

Papers will be considered for oral or poster presentation based on the review results and the most effective format for communicating the contribution to the ICCBR audience.

Submission Procedure

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:
https://easychair.org/conferences/?conf=iccbr26

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.