论文标题
迈向杂种主要主体间：人类科学的神经机器人图书馆
Towards hybrid primary intersubjectivity: a neural robotics library for human science
论文作者
论文摘要
人类机器人的互动正在成为认知科学研究的一个有趣领域，尤其是在社会认知研究中。互动理论家认为主要的主体间性是非主体主义者，理论上的，非概念性的过程，这些过程以一定程度的沟通和理解为基础，并为高级认知技能提供支持。我们认为，这种低水平的认知相互作用，其中控制在二元相遇中共享，它易于使用神经机器人进行研究。因此，在这项工作中，我们实现了三个主要目标。首先，从主动推理的概念中，我们将主要主体间性研究为以预测性参与为特征的第二人物观点经验，在这种观点中，感知，认知和作用被解释为二元相互作用中的诠释学圆圈。其次，我们为实验性人类机器人相互作用提出了一种名为\ textit {neural Robotics库}（NRL）的开源方法，以及用于实时与虚拟笛卡尔机器人（VCBOT）实时交互的演示程序。最后，通过研究案例，我们讨论了人类机器人（混合）主体间性可以有助于人类科学研究的一些方式，例如发展心理学，教育技术和认知康复领域。
Human-robot interaction is becoming an interesting area of research in cognitive science, notably, for the study of social cognition. Interaction theorists consider primary intersubjectivity a non-mentalist, pre-theoretical, non-conceptual sort of processes that ground a certain level of communication and understanding, and provide support to higher-level cognitive skills. We argue this sort of low level cognitive interaction, where control is shared in dyadic encounters, is susceptible of study with neural robots. Hence, in this work we pursue three main objectives. Firstly, from the concept of active inference we study primary intersubjectivity as a second person perspective experience characterized by predictive engagement, where perception, cognition, and action are accounted for an hermeneutic circle in dyadic interaction. Secondly, we propose an open-source methodology named \textit{neural robotics library} (NRL) for experimental human-robot interaction, and a demonstration program for interacting in real-time with a virtual Cartesian robot (VCBot). Lastly, through a study case, we discuss some ways human-robot (hybrid) intersubjectivity can contribute to human science research, such as to the fields of developmental psychology, educational technology, and cognitive rehabilitation.
