KR 2018: 16th International Conference on Principles of Knowledge Representation and Reasoning

Страна: США

Город: Tempe

Тезисы до: 13.05.2018

Даты: 29.10.18 — 02.11.18

Область наук: Педагогические;

Е-мейл Оргкомитета:

Организаторы: International Committee


Knowledge Representation and Reasoning (KRR) is an exciting, well-established field of research. In KRR 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, KRR has contributed to the theory and practice of various areas in AI, such as automated planning, natural language understanding, among others, as well as to fields beyond AI, including databases, verification, and software engineering. In recent years KRR has contributed to new and emerging fields including the semantic web, computational biology, 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. Contrary to previous editions, KR 2018 will also feature an open call for workshop and tutorial proposals.

We solicit papers presenting novel results on the principles of KRR 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 KRR. We also encourage "reports from the field" of applications, experiments, developments, and tests.

The best paper of the conference will receive the 2018 Ray Reiter Best Paper Prize, and the best student paper, whose main author is a student, will receive the 2018 Marco Cadoli Student Paper Prize. In addition, a few selected papers from KR 2018 will have the opportunity for fast-track publication in the AI Journal, and the best 1-2 papers in the area of logic programming or answer set programming will have the opportunity for fast-track publication in TPLP.

Submissions must be original, and should not have been previously published, accepted for publication, or currently be under review. Authors may not submit their paper elsewhere during the KR 2018 reviewing period. These considerations apply only to journals and conferences, and not to workshops and forums with a limited audience and without archival proceedings. In case of doubt, please contact the Program Chairs.

Papers must be submitted in AAAI style and PDF format. We invite two kinds of submissions:

  • full papers of up to 9 pages including abstract, figures, and appendices (if any) but excluding references and acknowledgements, which may take up to one additional page; submission of additional material (e.g. proofs) as separate documents is allowed, but this material should not form an integral part of the submission and will only be consulted at the discretion of reviewers, PC members and (area and program) chairs, as appropriate;
  • short papers describing applications, systems and/or demos, of up to 4 pages including abstract, figures, and appendices (if any) but excluding references and acknowledgements, which may take up to one additional page.

The conference proceedings will be published by AAAI Press.



Topics of interest include, but are not limited to:

  • Argumentation
  • Belief revision and update, belief merging, information fusion
  • Computational aspects of knowledge representation
  • Concept formation, similarity-based reasoning
  • Contextual reasoning
  • Description logics
  • Decision making
  • Explanation finding, diagnosis, causal reasoning, abduction
  • Inconsistency- and exception tolerant reasoning, paraconsistent logics
  • KR and autonomous agents: intelligent agents, cognitive robotics,
  • multi-agent systems
  • KR and game theory
  • KR and machine learning, inductive logic programming, knowledge discovery and acquisition
  • KR and natural language processing
  • KR and the Web, Semantic Web
  • Logic programming, answer set programming, constraint logic programming
  • Multi- and order-sorted representations and reasoning
  • Nonmonotonic logics, default logics, conditional logics
  • Philosophical foundations of KR
  • Ontology formalisms and models
  • 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

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