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A Framework for Developing and Using Shared Mental Models in Human-Agent Teams

机译:在人-代理团队中开发和使用共享心智模型的框架

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摘要

Converging evidence from psychology, human factors, management and organizational science, and other related fields suggests that humans working in teams employ shared mental models to represent and use pertinent information about the task, the equipment, the team members, and their roles. In particular, shared mental models are used to interact efficiently with other team members and to track progress in terms of goals, subgoals, achieved and planned states, as well as other team-related factors. Although much of the literature on shared mental models has focused on quantifying the success of teams that can use them effectively, there is little work on the types of data structures and processes that operate on them, which are required to operationalize shared mental models. This paper proposes the first comprehensive formal and computational framework based on results from human teams that can be used to implement shared mental models for artificial virtual and robotic agents. The formal portion of the framework specifies the necessary data structures and representations, whereas the computational framework specifies the necessary computational processes and their interactions to build, update, and maintain shared mental models.
机译:来自心理学,人为因素,管理和组织科学以及其他相关领域的越来越多的证据表明,团队中的人们使用共享的心理模型来表示和使用有关任务,设备,团队成员及其角色的相关信息。尤其是,共享的心理模型用于与其他团队成员有效地互动,并根据目标,子目标,已实现和计划的状态以及其他与团队相关的因素来跟踪进度。尽管有关共享心智模型的许多文献都集中在量化可以有效使用它们的团队的成功上,但是对于操作共享心智模型所需的数据结构和流程类型方面的工作很少。本文基于人类团队的结果提出了第一个综合的形式化和计算框架,该框架可用于为人工虚拟和机器人代理实现共享的心理模型。框架的正式部分指定了必要的数据结构和表示形式,而计算框架则指定了必要的计算过程及其相互作用以建立,更新和维护共享的心理模型。

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