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.
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. We also encourage "reports from the field" of applications, experiments, developments, and tests.
Submission Guidelines
The Applications and Systems Track will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to the authors guidelines in the submission page.
General Chair
Program Chairs
Important Dates
- Submission of title and abstract: February 2, 2022
- Paper submission deadline:
February 9, 2022February 11, 2022 (strict deadline) - Author response period: March 29-31, 2022
- Author notification: April 15, 2022
- Camera-ready papers: May 7, 2022
- Conference: July 31 - August 5, 2022
Topics of Interest
Topics of interest include, but are not limited to:
- Applications of KR
- Argumentation
- Belief revision and update, belief merging
- 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
- KR and autonomous agents and multi-agent systems
- KR and cognitive modelling
- KR and cognitive reasoning
- KR and cognitive robotics
- KR and cognitive systems
- 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