相互建模的认知架构
Cognitive Architecture for Mutual Modelling
摘要：
在社会机器人中，机器人需要能够被人类理解。特别是在协作任务中，他们必须分享共同的知识。例如，在教育场景中，学习者分享他们的知识，他们必须调整自己的行为，以确保他们被其他人理解。学习者的行为表现是为了表明他们的理解，教师的适应是为了确保学习者的知识是必要的。这种能力需要一个模型，他们自己的心理状态，由他人认为：\textit{"has the human understood that I(robot) need this object for the task or should I explain it once again ?"}在本文中，我们讨论了认知架构的重要性，使二阶相互建模的人与机器人的互动教育环境。
英文摘要：
In social robotics, robots needs to be able to be understood by humans. Especially in collaborative tasks where they have to share mutual knowledge. For instance, in an educative scenario, learners share their knowledge and they must adapt their behaviour in order to make sure they are understood by others. Learners display behaviours in order to show their understanding and teachers adapt in order to make sure that the learners' knowledge is the required one. This ability requires a model of their own mental states perceived by others: \textit{"has the human understood that I(robot) need this object for the task or should I explain it once again ?"} In this paper, we discuss the importance of a cognitive architecture enabling second-order Mutual Modelling for Human-Robot Interaction in educative contexts.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
