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Documents authored by Meyer, Thomas

Document
DOI: 10.4230/DagMan.10.1.1
Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Perspectives Workshop 22282)

Authors: James P. Delgrande, Birte Glimm, Thomas Meyer, Miroslaw Truszczynski, and Frank Wolter

Published in: Dagstuhl Manifestos, Volume 10, Issue 1 (2024)

Abstract
Knowledge Representation and Reasoning is a central, longstanding, and active area of Artificial Intelligence. Over the years it has evolved significantly; more recently it has been challenged and complemented by research in areas such as machine learning and reasoning under uncertainty. In July 2022,sser a Dagstuhl Perspectives workshop was held on Knowledge Representation and Reasoning. The goal of the workshop was to describe the state of the art in the field, including its relation with other areas, its shortcomings and strengths, together with recommendations for future progress. We developed this manifesto based on the presentations, panels, working groups, and discussions that took place at the Dagstuhl Workshop. It is a declaration of our views on Knowledge Representation: its origins, goals, milestones, and current foci; its relation to other disciplines, especially to Artificial Intelligence; and on its challenges, along with key priorities for the next decade.
Cite as

James P. Delgrande, Birte Glimm, Thomas Meyer, Miroslaw Truszczynski, and Frank Wolter. Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Perspectives Workshop 22282). In Dagstuhl Manifestos, Volume 10, Issue 1, pp. 1-61, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{delgrande_et_al:DagMan.10.1.1,
  author =	{Delgrande, James P. and Glimm, Birte and Meyer, Thomas and Truszczynski, Miroslaw and Wolter, Frank},
  title =	{{Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Perspectives Workshop 22282)}},
  pages =	{1--61},
  journal =	{Dagstuhl Manifestos},
  ISSN =	{2193-2433},
  year =	{2024},
  volume =	{10},
  number =	{1},
  editor =	{Delgrande, James P. and Glimm, Birte and Meyer, Thomas and Truszczynski, Miroslaw and Wolter, Frank},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagMan.10.1.1},
  URN =		{urn:nbn:de:0030-drops-201403},
  doi =		{10.4230/DagMan.10.1.1},
  annote =	{Keywords: Knowledge representation and reasoning, Applications of logics, Declarative representations, Formal logic}
}
Document
DOI: 10.4230/DagRep.12.7.62
Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Seminar 22282)

Authors: James P. Delgrande, Birte Glimm, Thomas Meyer, Miroslaw Truszczynski, Milene Santos Teixeira, and Frank Wolter

Published in: Dagstuhl Reports, Volume 12, Issue 7 (2023)

Abstract
The area of Knowledge Representation and Reasoning (KR) is a central area in Artificial Intelligence that deals with the explicit, declarative representation of knowledge along with inference procedures for deriving further, implicit information from this knowledge. The goal of this Perspectives Seminar was to assess the area of KR, including its history, current state, and future prospects, and from this assessment to provide suggestions and recommendations for advancing the field, increasing participation in the area, and furthering links with related areas. Over the course of 5 days, 25 participants from a cross-section of subareas in KR and areas adjacent to KR met to discuss these topics. The workshop was composed of a number of invited talks and panels for reviewing the history and state of the art of KR, along with several working groups and general open discussions. In common with other Perspectives Workshops, a Manifesto will be produced; as well, recommendations contained in the manifesto will be also forwarded to the steering committee of the Principles of Knowledge Representation and Reasoning conference series for their consideration.
Cite as

James P. Delgrande, Birte Glimm, Thomas Meyer, Miroslaw Truszczynski, Milene Santos Teixeira, and Frank Wolter. Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Seminar 22282). In Dagstuhl Reports, Volume 12, Issue 7, pp. 62-79, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{delgrande_et_al:DagRep.12.7.62,
  author =	{Delgrande, James P. and Glimm, Birte and Meyer, Thomas and Truszczynski, Miroslaw and Teixeira, Milene Santos and Wolter, Frank},
  title =	{{Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Seminar 22282)}},
  pages =	{62--79},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{7},
  editor =	{Delgrande, James P. and Glimm, Birte and Meyer, Thomas and Truszczynski, Miroslaw and Teixeira, Milene Santos and Wolter, Frank},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.12.7.62},
  URN =		{urn:nbn:de:0030-drops-176126},
  doi =		{10.4230/DagRep.12.7.62},
  annote =	{Keywords: applications of logics, declarative representations, formal logic, knowledge representation and reasoning}
}
Document
DOI: 10.4230/DagRep.9.2.73
The Role of Non-monotonic Reasoning in Future Development of Artificial Intelligence (Dagstuhl Perspectives Workshop 19072)

Authors: Anthony Hunter, Gabriele Kern-Isberner, Thomas Meyer, and Renata Wassermann

Published in: Dagstuhl Reports, Volume 9, Issue 2 (2019)

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.
Cite as

Anthony Hunter, Gabriele Kern-Isberner, Thomas Meyer, and Renata Wassermann. The Role of Non-monotonic Reasoning in Future Development of Artificial Intelligence (Dagstuhl Perspectives Workshop 19072). In Dagstuhl Reports, Volume 9, Issue 2, pp. 73-90, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{hunter_et_al:DagRep.9.2.73,
  author =	{Hunter, Anthony and Kern-Isberner, Gabriele and Meyer, Thomas and Wassermann, Renata},
  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 =	{Hunter, Anthony and Kern-Isberner, Gabriele and Meyer, Thomas and Wassermann, Renata},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.2.73},
  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, Logic programming and answer set programming, Ontology engineering, Cognitive science, Machine learning}
}
Document
DOI: 10.4230/DagRep.2.10.105
Foundations and Challenges of Change and Evolution in Ontologies (Dagstuhl Seminar 12441)

Authors: James Delgrande, Thomas Meyer, and Ulrike Sattler

Published in: Dagstuhl Reports, Volume 2, Issue 10 (2013)

Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 12441 "Foundations and Challenges of Change and Evolution in Ontologies", held from 28 October to 2 November 2012. The aim of the workshop was to bring together researchers working in the areas of logic-based ontologies, belief change, and database systems, along with researchers working in relevant areas in nonmonotonic reasoning, commonsense reasoning, and paraconsistent reasoning. The workshop provided a forum for discussions on the application of existing work in belief change, nonmonotonic reasoning, commonsense reasoning, and databases to logic-based ontologies. Overall the intent was to provide an interdisciplinary (with respect to computer science and mathematics) workshop for addressing both theoretical and computational issues in managing change and evolution in formal ontologies.
Cite as

James Delgrande, Thomas Meyer, and Ulrike Sattler. Foundations and Challenges of Change and Evolution in Ontologies (Dagstuhl Seminar 12441). In Dagstuhl Reports, Volume 2, Issue 10, pp. 105-116, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@Article{delgrande_et_al:DagRep.2.10.105,
  author =	{Delgrande, James and Meyer, Thomas and Sattler, Ulrike},
  title =	{{Foundations and Challenges of Change and Evolution in Ontologies (Dagstuhl Seminar 12441)}},
  pages =	{105--116},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2013},
  volume =	{2},
  number =	{10},
  editor =	{Delgrande, James and Meyer, Thomas and Sattler, Ulrike},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.2.10.105},
  URN =		{urn:nbn:de:0030-drops-39079},
  doi =		{10.4230/DagRep.2.10.105},
  annote =	{Keywords: Artificial intelligence, Belief change, Ontologies, Description logics}
}
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