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A method for conflict detection based on team intention inference

机译:基于团队意图推理的冲突检测方法

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One of the typical causes of errors in team cooperative activities, such as in central control rooms of power plants and cockpits in aircrafts, is conflicts among team members' intentions. If mutual awareness and communication were perfectly established and maintained, conflicts could be detected and recovered by team members; however, this does not happen in practice. In this paper, we provide a framework for detecting conflicts among team members' intentions based on team intention inference, aiming to make machines function as a coordinator for cooperative activities. In previous work, we developed a method for team intention inference based on a definition of 'we-intention'. We-intention is other-regarding intentions relating to situations in which some agents act together, and is represented as a set of individual intentions and mutual beliefs. In this framework, a conflict can be defined as a set of individual intentions and false beliefs (undesired procedures), and detected by searching for such combinations. We applied the proposed method to the operation of a plant simulator operated by a two-person team, and it was confirmed through an experiment that this method could list candidates for conflicts by type and set the actual conflict high in priority in the tested context.
机译:团队合作活动中错误的典型原因之一,例如在发电厂的中央控制室和飞机驾驶舱中,是团队成员意图之间的冲突。如果建立并保持相互意识和沟通,团队成员可以发现并恢复冲突;但是,这在实践中不会发生。在本文中,我们提供了一个基于团队意图推断来检测团队成员意图之间冲突的框架,旨在使机器充当协作活动的协调者。在先前的工作中,我们基于“我们意图”的定义开发了一种团队意图推理的方法。我们意图是与某些特工共同行动的情况有关的其他意图,并表示为一组个人意图和共同信念。在此框架中,可以将冲突定义为一组个人意图和错误信念(不需要的过程),并通过搜索此类组合来检测冲突。我们将所提出的方法应用于由两个人组成的团队操作的工厂模拟器的操作,并且通过实验证实,该方法可以按类型列出冲突的候选对象,并在测试的环境中将实际冲突设置为高优先级。

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