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Documents authored by Witteveen, Cees


Document
08461 Abstracts Collection – Planning in Multiagent Systems

Authors: Jürgen Dix, Edmund H. Durfee, and Cees Witteveen

Published in: Dagstuhl Seminar Proceedings, Volume 8461, Planning in Multiagent Systems (2009)


Abstract
From the 9th of November to the 14th of November 2008 the Dagstuhl Seminar 08461 '`Planning in Multiagent Systems'' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Jürgen Dix, Edmund H. Durfee, and Cees Witteveen. 08461 Abstracts Collection – Planning in Multiagent Systems. In Planning in Multiagent Systems. Dagstuhl Seminar Proceedings, Volume 8461, pp. 1-9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{dix_et_al:DagSemProc.08461.1,
  author =	{Dix, J\"{u}rgen and Durfee, Edmund H. and Witteveen, Cees},
  title =	{{08461 Abstracts Collection – Planning in Multiagent Systems}},
  booktitle =	{Planning in Multiagent Systems},
  pages =	{1--9},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8461},
  editor =	{J\"{u}rgen Dix and Edmund H. Durfee and Cees Witteveen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08461.1},
  URN =		{urn:nbn:de:0030-drops-18740},
  doi =		{10.4230/DagSemProc.08461.1},
  annote =	{Keywords: Multi-agent systems, AI-planning, coordination, robustness, temporal planning}
}
Document
08461 Executive Summary – Planning in Multi-Agent Systems

Authors: Jürgen Dix, Edmund H. Durfee, and Cees Witteveen

Published in: Dagstuhl Seminar Proceedings, Volume 8461, Planning in Multiagent Systems (2009)


Abstract
Planning in Multiagent Systems, or Multiagent Planning (MAP for short), considers the planning problem in the context of multiagent systems. It extends traditional AI planning to domains where multiple agents are involved in a plan and need to act together. Research in multiagent planning is promising for real-world problems: on one hand, AI planning techniques provide powerful tools for solving problems in single agent settings; on the other hand, multiagent systems, which have made significant progress over the past few years, are recognized as a key technology for tackling complex problems in realistic application domains. The motivation for this seminar is thus to bring together researchers working on these different fields in AI planning and multiagent systems to discuss the central topics mentioned above, to identify potential opportunities for coordination, and to develop benchmarks for future research in multiagent planning.

Cite as

Jürgen Dix, Edmund H. Durfee, and Cees Witteveen. 08461 Executive Summary – Planning in Multi-Agent Systems. In Planning in Multiagent Systems. Dagstuhl Seminar Proceedings, Volume 8461, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{dix_et_al:DagSemProc.08461.2,
  author =	{Dix, J\"{u}rgen and Durfee, Edmund H. and Witteveen, Cees},
  title =	{{08461 Executive Summary – Planning in Multi-Agent Systems }},
  booktitle =	{Planning in Multiagent Systems},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{8461},
  editor =	{J\"{u}rgen Dix and Edmund H. Durfee and Cees Witteveen},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08461.2},
  URN =		{urn:nbn:de:0030-drops-18739},
  doi =		{10.4230/DagSemProc.08461.2},
  annote =	{Keywords: Multi-agent systems, AI-planning, coordination, robustness, temporal planning}
}
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