When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.08461.2
URN: urn:nbn:de:0030-drops-18739
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Dix, Jürgen ; Durfee, Edmund H. ; Witteveen, Cees

08461 Executive Summary -- Planning in Multi-Agent Systems

08461.SWM.Paper.1873.pdf (0.10 MB)


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.

BibTeX - Entry

  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 =		{},
  URN =		{urn:nbn:de:0030-drops-18739},
  doi =		{10.4230/DagSemProc.08461.2},
  annote =	{Keywords: Multi-agent systems, AI-planning, coordination, robustness, temporal planning}

Keywords: Multi-agent systems, AI-planning, coordination, robustness, temporal planning
Collection: 08461 - Planning in Multiagent Systems
Issue Date: 2009
Date of publication: 05.02.2009

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