Conference Information

ICCBR 2025: International Conference on Case-Based Reasoning

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Submission Date:
2025-03-16 Extended
Notification Date:
2025-04-06
Conference Date:
2025-06-30
Location:
Biarritz, France
Years:
33
CCF: b   CORE: c   QUALIS: b4   Viewed: 76577   Tracked: 46   Attend: 11

Call For Papers

ICCBR 2025 (International Conference on Case-Based Reasoning) is a CCF B / CORE C / QUALIS B4 conference held in Biarritz, France on 2025-06-30. The paper submission deadline is 2025-03-16 (extended). Acceptance notifications are sent on 2025-04-06.

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. We welcome contributions from participants representing all types of affiliations (academic, industry, government) and from all communities applying CBR or conducting relevant research. Conference submissions are not limited to papers on the conference theme, though the organizers are especially interested in papers that address the theme. Generative AI and CBR Generative AI and CBR is this year’s conference theme, directing the community’s attention to the growing pervasion of Generative AI in workplaces, homes, and societies, affecting us all. This year we pose the question: “What are some roles CBR can play to address some of the challenges stemming from Generative AI’s growing pervasion in our society?” We encourage submissions and participation from members of the AI and CBR communities—whether they are researchers, policymakers, or practitioners—on the synergistic challenges between Generative AI and CBR. We look forward to a variety of submissions, including position papers, road mapping proposals, as well as traditional basic or applied research papers. Topics of Interest In addition to the emphasized areas above, 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-base maintenance 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 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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