Call for Papers: Reasoning, Learning, and Decision Making

The special track on Reasoning, Learning, and Decision Making emphasizes the synergistic interactions between KR and complementary fields of AI like (machine) learning, robotics, multiagent systems, and decision-making in autonomous systems.

We welcome contributions that extend the state-of-the-art at the intersection of KR with any of the fields mentioned above. These may include, for example, the integration of knowledge representation and reasoning into whole robotic systems, examples where autonomous systems benefit from KR, harnessing common-sense reasoning and explicit world models for decision-making, and extensions of KR techniques to cope with the challenges that arise when taking decisions in different environments or when interacting with the physical world. The track is also looking for submissions that combine aspects of KR and machine learning (ML) research, including the use of KR methods for solving ML challenges, the use of ML methods for solving KR challenges, the integration of learning and reasoning at modeling or solving, and the application of combined KR and ML approaches to solving real-world problems.

Important Dates

Can be found on the respective page.

Topics of Interest

We welcome papers on a wide range of topics, including but not limited to:

Types of Submissions

Submissions to the special track can be of two types:

Both kinds of papers must be prepared and submitted according to the authors' guidelines on the submission page before the deadline. Both regular and position papers in the special track have to fall into the intersection of KR and at least one other field. Papers not meeting this criterion will be identified before the actual reviewing process and will not be admitted for evaluation.

Research papers are regular research papers as similar as for the Main Track.

Position papers can be of different kinds. Examples include, but are not confined to, articulating personal stances regarding the potential application of Knowledge Representation (KR) in diverse domains, advocating for or against specific avenues of research, outlining a vision for KR's role in other fields, or proposing alterations to the evaluation criteria of our research. The assessment of position papers will primarily hinge on their ability to offer a compelling perspective deserving of broader attention within the KR community, regardless of accordance with the expressed viewpoint by reviewers. These papers aim to provoke constructive and respectful discourse on relevant subjects requiring the collective insights of our community. Furthermore, they must adhere to rigorous standards, necessitating robust evidential support for all assertions, timeliness, relevance, and excellence in terms of writing and organization.

Selected authors will be given the option to showcase their work in the Demo Track alongside their regular presentation slot in a session of the track.

Selection Process

Can be found on the respective page.


Inquiries should be sent by email to and will be handled by the KR 2024 Reasoning, Learning & Decision-Making Track chairs: