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