31st International Conference on Case-Based Reasoning

The Organizers and Program Committee invites submissions of original theoretical research, applied research and deployed application papers on all aspects of Case-Based Reasoning (CBR). 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. Contributions are welcome from participants representing all types of affiliations (e.g., academic, industry, government) and from all communities applying CBR or conducting relevant research.

Location: Aberdeen, Scotland

Link: https://iccbr2023.org

Deadlines:

This year’s conference theme is CBR in a Data-Driven World to direct the community’s attention to the need to highlight the role CBR can play in solving current problems. We pose the question: “What is the role of CBR in the modern data-driven world?” and encourage submissions and participation from members of the AI and CBR communities – whether they be researchers, policy makers or practitioners — on this theme. Conference submissions are not limited to papers on the conference theme.

Submission Guidelines

REVIEW CRITERIA

Each submission must be identified as presenting (1) theoretical/ methodological research, (2) applied research/emerging applications, (3) a deployed application, or (4) Literature surveys, or (5) Conference Theme papers; and will be reviewed using criteria appropriate to its category. These criteria are as follows: 1.Theoretical/methodological research: Scientific significance, originality, technical quality, and clarity; 2.Applied research/emerging applications: Significance for theoretical research or promise for application deployment; 3.Deployed application: Demonstrated practical significance; originality; treatment of issues of engineering, management, and user acceptance; and clarity; and 4.Literature survey: Well-developed body of research, inclusion of works from several authors, significance, clarity, open research questions.

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

SUBMISSION PROCEDURE

Authors must submit a full paper by the conference paper submission deadline, formatted according to the Springer LNCS formatting guidelines (https://www.springer.com/gp/ authorseditors/conference-proceedings/conference-proceedings-guidelines).

Papers (submitted and final) should be no longer than 14 pages plus up to two additional pages for references. Please submit papers using the EasyChair conference management system here: https://easychair.org/conferences/?conf=iccbr2023

Multiple Submission Policy: Papers submitted to other conferences must state this fact as a footnote on page 1, and please also notify the program co-chairs by email. If a paper is to appear in another conference or journal, it must be withdrawn from ICCBR 2023.

Author Registration Policy: For a paper to appear in the proceedings, at least one of the authors must register for the conference by the camera-ready copy deadline. The preference is for papers to be presented by one of the authors at the conference live. However, there will be facilities for video presentations.

List of Topics

• 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 metrics and adaptation knowledge learning

• CBR AND RELATED FIELDS

  • ● ‘Modern’ CBR

    ● Analogical reasoning, cognitive models, and creative reasoning

    ● Cloud CBR

    ● 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 and technical support

    ● E-science, cyber infrastructure, and scientific workflows

    ● Economics and finance

    ● Education (including distance learning)

    ● Energy, logistics, and traffic

    ● Game AI

    ● Knowledge and experience management

    ● Medicine and health

    ● Science and engineering

Further Information

For detailed information, please visit https://iccbr2023.org