This volume constitutes the proceedings of the Doctoral Consortium of the 22nd International Conference on Principles of Knowledge Representation and Reasoning. The doctoral consortium took place as part of the 22nd International Conference on Principles of Knowledge Representation and Reasoning (KR 2025) in Melbourne, Australia, in the time of November 11-17, 2025. The Doctoral Consortium (DC) is a student mentoring program designed to bring together PhD students and senior researchers from the area of KR. The primary aims of the consortium are: • to provide a forum for students to present their current research, and receive feedback from other students and senior researchers; • to promote contacts among PhD students working in similar areas; • to support students with information and advice on academic, research, and industrial careers.
2. Equivalence and Splitting Techniques for Ranking Functions in Knowledge Representation and Belief Change — Alexander Hahn 3. Automatically Verifying and Repairing General Game Descriptions — Yifan He 4. A Rule-Based Approach to Specifying Preferences over Conflicting Facts and
Querying Inconsistent Knowledge Bases (Extended Abstract) — Robin Jean
We sincerely thank all mentors and reviewers for their thoughtful feedback and dedication to supporting the next generation of KR researchers. We also thank the KR 2025 organizers, and the Local Arrangement Chairs for their help in making the Doctoral Consortium possible.