Conference Information
KR 2021: International Conference on the Principles of Knowledge Representation and Reasoning
https://kr2021.kbsg.rwth-aachen.de/
Submission Date:
2021-03-24
Notification Date:
2021-06-15
Conference Date:
2021-11-06
Location:
Hanoi, Vietnam
Years:
18
CCF: b   CORE: a*   QUALIS: a2   Viewed: 19881   Tracked: 83   Attend: 5
Conference Location
Call For Papers
Knowledge Representation and Reasoning (KR) is a well-established and lively field of research. In KR a fundamental assumption is that an agent's knowledge is explicitly represented in a declarative form, suitable for processing by dedicated reasoning engines. This assumption, that much of what an agent deals with is knowledge-based, is common in many modern intelligent systems. Consequently, KR has contributed to the theory and practice of various areas in AI, including automated planning and natural language understanding, and to fields beyond AI, including databases, verification, software engineering, and robotics. In recent years, KR has contributed also to new and emerging fields, including the semantic web, computational biology, cyber security, and the development of software agents. 

The KR conference series is the leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge. 

Scope 

We solicit papers presenting novel results on the principles of KR that clearly contribute to the formal foundations of relevant problems or show the applicability of results to implemented or implementable systems. We also welcome papers from other areas that show clear use of, or contributions to, the principles or practice of KR. 

Topics of interest include, but are not limited to: 

Applications of KR 
Argumentation 
Belief revision and update, belief merging, information fusion 
Commonsense reasoning 
Computational aspects of knowledge representation 
Concept formation, similarity-based reasoning 
Contextual reasoning 
Decision making 
Description logics 
Explanation finding, diagnosis, causal reasoning, abduction 
Geometric, spatial, and temporal reasoning 
Inconsistency- and exception-tolerant reasoning, paraconsistent logics 
KR and autonomous agents and multi-agent systems 
KR and cognitive robotics 
KR and cyber security 
KR and education 
KR and game theory 
KR and machine learning, inductive logic programming, knowledge acquisition 
KR and natural language processing and understanding 
KR and the Web, Semantic Web 
Knowledge graphs and open linked data 
Knowledge representation languages 
Logic programming, answer set programming 
Modeling and reasoning about preferences 
Multi- and order-sorted representations and reasoning 
Nonmonotonic logics, default logics, conditional logics 
Ontology formalisms and models 
Ontology-based data access, integration, and exchange 
Philosophical foundations of KR 
Qualitative reasoning, reasoning about physical systems 
Reasoning about actions and change, action languages 
Reasoning about constraints, constraint programming 
Reasoning about knowledge, beliefs, and other mental attitudes 
Uncertainty, vagueness, many-valued and fuzzy logics
Last updated by Dou Sun in 2021-01-19
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20082516927.5%
20062105023.8%
20041976734%
20001726236%
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