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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:

IJCAI 22 Workshop

This workshop is part of the IJCAI 22 workshop programme.

Call for Papers

We invite three kinds of submissions:

Submissions should be formatted in the (one-column) CEUR-format (see:

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: .

An informal proceedings containing all submissions will be published online on the 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

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

Organizing Committee