  There is an increasing need to develop artificial intelligence systems that
assist groups of humans working on coordinated tasks. These systems must
recognize and understand the plans and relationships between actions for a team
of humans working toward a common objective. This article reviews the
literature on team plan recognition and surveys the most recent logic-based
approaches for implementing it. First, we provide some background knowledge,
including a general definition of plan recognition in a team setting and a
discussion of implementation challenges. Next, we explain our reasoning for
focusing on logic-based methods. Finally, we survey recent approaches from two
primary classes of logic-based methods (plan library-based and domain
theory-based). We aim to bring more attention to this sparse but vital topic
and inspire new directions for implementing team plan recognition.
