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.

翻译：随着协同任务场景中人类团队协作需求的日益增长，开发能够辅助团队工作的智能系统变得愈发重要。此类系统必须能够识别并理解为实现共同目标而协作的人类团队的行动计划及行动间关系。本文综述了团队计划识别领域的研究文献，重点梳理了基于逻辑方法的最新实现技术。首先，我们提供必要背景知识，包括团队场景下计划识别的一般性定义及实现挑战的讨论。其次，阐明聚焦逻辑方法的研究依据。最后，系统综述了两类核心逻辑方法（基于计划库方法和基于领域理论方法）的最新进展。我们期望通过本文引起学界对这一薄弱但关键课题的更多关注，并为团队计划识别的实现开辟新方向。