Abstract
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.
Abstract (translated)
开发协助人类团队完成协调任务的人工智能系统变得越来越需要。这些系统必须识别和理解一个团队为实现共同目标而行动的计划和之间的关系。本文综述了团队计划识别文献,并调查了最近基于逻辑的方法,以实施该方法。首先,我们提供了一些背景知识,包括团队环境中计划识别的一般定义以及实施挑战的讨论。接下来,我们解释了我们专注于逻辑方法的原因。最后,我们综述了最近基于逻辑方法的两个主要类别(计划基于图书馆和领域理论的方法)的方法。我们旨在更多地关注这个稀疏但重要的主题,并激发实施团队计划识别的新方向。
URL
https://arxiv.org/abs/2301.13288
