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License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagRep.9.2.73
URN: urn:nbn:de:0030-drops-108601
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/10860/
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Hunter, Anthony ; Kern-Isberner, Gabriele ; Meyer, Thomas ; Wassermann, Renata
Weitere Beteiligte (Hrsg. etc.): Anthony Hunter and Gabriele Kern-Isberner and Thomas Meyer and Renata Wassermann

The Role of Non-monotonic Reasoning in Future Development of Artificial Intelligence (Dagstuhl Perspectives Workshop 19072)

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dagrep_v009_i002_p073_19072.pdf (10 MB)

Abstract

This report documents the program and the outcomes of Dagstuhl Perspectives Workshop 19072 "The Role of Non-monotonic Reasoning in Future Development of Artificial Intelligence". The workshop brought together researchers both from core topics and peripheral areas of non-monotonic reasoning (NMR), but also attracted researchers from other scientific domains in which recent developments have shown an increased relevance of NMR topics. The overall goal of this workshop was to reshape NMR as a core methodology for artificial intelligence being able to meet present and future challenges. Participants of this workshop discussed in what shape NMR would be useful for future AI, and how NMR can be developed for those requirements. The workshop started with brief survey talks and had some technical talks on central topics of NMR afterwards. These were followed by working groups on core aspects of NMR and potential links with learning. On the last day of the seminar, each working group presented their ideas and future plans. The workshop closed with a plenary discussion on the future of NMR.

BibTeX - Entry

@Article{hunter_et_al:DR:2019:10860,
  author =	{Anthony Hunter and Gabriele Kern-Isberner and Thomas Meyer and Renata Wassermann},
  title =	{{The Role of Non-monotonic Reasoning in Future Development of Artificial Intelligence (Dagstuhl Perspectives Workshop 19072)}},
  pages =	{73--90},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{2},
  editor =	{Anthony Hunter and Gabriele Kern-Isberner and Thomas Meyer and Renata Wassermann},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/10860},
  URN =		{urn:nbn:de:0030-drops-108601},
  doi =		{10.4230/DagRep.9.2.73},
  annote =	{Keywords: Artificial intelligence, Knowledge representation and reasoning, Nonmonotonic, default reasoning and belief revision, Probabilistic reasoning,}
}

Keywords: Artificial intelligence, Knowledge representation and reasoning, Nonmonotonic, default reasoning and belief revision, Probabilistic reasoning,
Freie Schlagwörter (englisch): Logic programming and answer set programming, Ontology engineering, Cognitive science, Machine learning
Collection: Dagstuhl Reports, Volume 9, Issue 2
Issue Date: 2019
Date of publication: 16.07.2019

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