  Cooperative multi-agent planning (MAP) is a relatively recent research field
that combines technologies, algorithms and techniques developed by the
Artificial Intelligence Planning and Multi-Agent Systems communities. While
planning has been generally treated as a single-agent task, MAP generalizes
this concept by considering multiple intelligent agents that work cooperatively
to develop a course of action that satisfies the goals of the group.
  This paper reviews the most relevant approaches to MAP, putting the focus on
the solvers that took part in the 2015 Competition of Distributed and
Multi-Agent Planning, and classifies them according to their key features and
relative performance.
