Knowledge Representation and Reasoning (KR&R) is a well-established and vibrant field of research. KR&R techniques are key drivers of innovation in computer science, and they have led to significant advances in practical applications in a wide range of areas from Artificial Intelligence to Software Engineering. The underlying approach of explicitly representing knowledge in a tangible form, suitable for processing by dedicated reasoning engines, is a fundamental component of many modern intelligent systems. Foundational and applied research in KR&R contributes to the principles of artificial intelligence. It also contributes to the foundations of longstanding fields including automated planning, databases, and software engineering. In recent years KR&R has also derived challenges from new and emerging fields including the semantic web, computational biology, and the development of software agents.

The KR conference series is a leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge. The 2014 edition will be held as part of the Vienna Summer of Logic together with the Federated Conference on Logic, Logic Colloquium and other related events. The Vienna Summer of Logic is expected to be the largest convention in the history of logic.

We solicit papers presenting novel results on the principles of KR&R that clearly contribute to the formal foundations of relevant problems or show the applicability of results to implemented or implementable systems. We also encourage "reports from the field" of applications experiments, developments, and tests. Such papers should be explicitly identified as reports from the field by the authors, to ensure appropriate reviewing, and must include a section on evaluation.

Topics of interest include, but are not limited to:

Applications of KR
Argumentation
Belief revision and update, belief merging, information fusion
Computational aspects of knowledge representation
Concept formation, similarity-based reasoning
Contextual reasoning
Description logics
Explanation finding, diagnosis, causal reasoning, abduction
Inconsistency- and exception tolerant reasoning, paraconsistent logics
KR and autonomous agents, cognitive robotics, multi-agent systems, logical models of agency
KR and data management, ontology-based data access, queries and updates over incomplete data
KR and decision making, decision theory, game theory and economic models
KR and machine learning, inductive logic programming, knowledge discovery and acquisition
KR and the Web, Semantic Web, formal approaches to knowledge bases
KR in games, general game playing, reasoning in video games and virtual environments, believable agents
KR in natural language understanding and question answering
KR in image and video understanding
Logical approaches to planning and behavior synthesis
Logic programming, answer set programming, constraint logic programming
Nonmonotonic logics, default logics, conditional logics
Philosophical foundations of KR
Ontology languages and modeling
Preference modeling and representation, reasoning about preferences, preference-based reasoning
Qualitative reasoning, reasoning about physical systems
Reasoning about actions and change, action languages, situation calculus, dynamic logic
Reasoning about knowledge and belief, epistemic and doxastic logics
Spatial reasoning and temporal reasoning
Uncertainty, representations of vagueness, many-valued and fuzzy logics, relational probability models