Conference Information

ICCBR 2026: International Conference on Case-Based Reasoning

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ICCBR
Submission Date:
2026-03-20
Notification Date:
2026-04-28
Conference Date:
2026-08-13
Location:
Bremen, Germany
Years:
CCF: B   ICORE: C   QUALIS: B4   Viewed: 95074   Tracked: 46   Attend: 11

Call For Papers

ICCBR 2026 (International Conference on Case-Based Reasoning) is a CCF B / ICORE C / QUALIS B4 conference held in Bremen, Germany on 2026-08-13. The paper submission deadline is 2026-03-20. Acceptance notifications are sent on 2026-04-28.

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 abstract submission deadline is March 20, 2026, and the extended final paper submission deadline is March 27, 2026. Notification of acceptance will be sent by April 28, 2026, with the final version due by May 20, 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
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