Scope & Description
Knowledge representation is a lively and well-established field of AI, where knowledge and belief is represented declaratively and suitable for machine processing. It is often claimed that this declarative nature makes knowledge representation cognitively more adequate than e.g. sub-symbolic approaches, such as machine learning. This cognitive adequacy has important ramifications for the explainability of approaches in knowledge representation, which on its turn is essential for the trustworthiness of these approaches. However, exactly how cognitive adequacy is ensured has been often left implicit, and connections with cognitive science and psychology have only recently been taken up.
The goal of this workshop is to bring together experts from fields including artificial intelligence, psychology, cognitive science and philosophy to discuss important questions related to cognitive aspects of knowledge representation, such as:
- How can we study the cognitive adequacy of approaches in AI?
- Are declarative approaches cognitively more adequate than other approaches in AI?
- What is the connection between cognitive adequacy and explanatory potential?
- How to develop benchmarks for studying cognitive aspects of AI?
- Which results from psychology are relevant for AI?
- What is the role of the normative-descriptive distinction in current developments in AI?
IJCAI 22 Workshop
This workshop is part of the IJCAI 22 workshop programme.Call for Papers
We invite three kinds of submissions:- long papers (12 pages plus one page for references) reporting unpublished research,
- short papers (4 pages plus one page for references) reporting unpublished research, and
- extended abstracts (3 pages including references) presenting work relevant to the workshop already published in other conferences or journals. Such an abstract should summarize the contributions of the article and its relevance for the workshop, as well as include bibliographic details of the article and a link to a pdf of the article.
Submissions should be formatted in the (one-column) CEUR-format (see: http://ceur-ws.org/HOWTOSUBMIT.html).
Submissions will be peer-reviewed to ensure quality and relevance to the workshop. Reviewing will be inclusive, i.e. reviews will ensure relevance for the workshop and basic quality control.
Submissions are handled through the EasyChair conference management system: https://easychair.org/my/conference?conf=cakr22 .
An informal proceedings containing all submissions will be published online on the CEUR-WS.org-website. All rights are retained by the authors. At least one co-author of each accepted paper must register for and attend the workshop.
Important Dates
- May 13, 2022: Paper Due Date
- June 3, 2022: Notification of Paper Acceptance
- June 17, 2022: Camera-ready papers due
- July 23-29, 2022: Workshop (exact date to be confirmed)
Keynote Speaker
Ruth Byrne (Professor of Cognitive Science, Trinity College Dublin) University of Dublin will deliver a keynote talk at the CAKR workshop.
Programme Committee
- Clayton Baker, University of Cape Town and CAIR, South-Africa
- Giovanni Casini, ISTI - CNR , Italy
- Federico Cerutti, University of Brescia, Italy
- Marcos Cramer, Technische Universität Dresden, Germany
- Steffen Hölldobler, Technische Universität Dresden, Germany
- Beishui Liao, Zhejiang University, China
- Michael Maher, Reasoning Research Institute, Australia
- Mohan Sridharan, University of Birmingham, UK
- Frieder Stolzenburg, Harz University of Applied Sciences, Germany
- Ivan Varzinczak, University of Artois and CNRS, France
Organizing Committee
- Jesse Heyninck University of Cape Town and CAIR, South-Africa and Vrije Universiteit Brussel, Belgium
- Gabriele Kern-Isberner Technische Universität Dortmund, Germany
- Tommie Meyer University of Cape Town and CAIR, South-Africa
- Marco Ragni Technische Universität Chemnitz, Germany
- Matthias Thimm FernUniversität Hagen, Germany