[PlanetKR] 21st International Conference on Principles of Knowledge Representation and Reasoning (KR 2024) - Reasoning, Learning, and Decision Making (Special Track)

Stavros Vassos stavros at helvia.ai
Tue Mar 12 14:16:16 UTC 2024

21st International Conference on 
Principles of Knowledge Representation and Reasoning, KR 2024

November 2 - November 8, 2024, Hanoi, Vietnam

Conference web site: www.kr.org/KR2024

-- 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 conference website:

-- Topics of Interest --

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

•    Learning symbolic knowledge, such as ontologies and knowledge 
     graphs, action theories, commonsense knowledge, spatial and 
     temporal theories, preference models and causal models
•    Knowledge representation and reasoning in the computation,
     synthesis, analysis, verification, reuse, and repair of plans
•    Machine-learning driven reasoning algorithms
•    Neural-symbolic learning
•    Statistical relational learning
•    Symbolic reinforcement learning
•    Learning symbolic abstractions from unstructured data
•    Expressive power of learning representations
•    Knowledge-driven decision making
•    Combining discrete and continuous, quantitative and qualitative,
     logical and probabilistic representations and reasoning methods 
     (e.g., task planning with motion planning)
•    Architectures that combine data-driven techniques and formal

-- Types of Submissions --

Submissions to the special track can be of two types:

•    Research papers (9 pages excluding references)
•    Position papers (3-5 pages excluding references)

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.

-- Inquiries --

Inquiries should be sent by email to kr2024.rldm at cse.unsw.edu.au and 
will be handled by the KR 2024 Reasoning, Learning & Decision-Making 
Track chairs:

•    Jean Christoph Jung, Dortmund University, Germany 
•    Sebastijan Dumančić, Delft University, The Netherlands 
•    Masoumeh Mansouri, University of Birmingham, UK 

Further details can be found via the conference web site: 

KR Inc., not for profit Scientific Foundation, , Massachusetts, USA , , 

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