08461 Executive Summary – Planning in Multi-Agent Systems

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.