Curiosity Lab, Department of Industrial Engineering, Tel-Aviv University , Tel-Aviv , Israel.
Philos Trans R Soc Lond B Biol Sci. 2019 Apr 29;374(1771):20180029. doi: 10.1098/rstb.2018.0029.
Social interaction is an extremely complex yet vital component in daily life. We present a bottom-up approach for the emergence of social behaviours from the interaction of the curiosity drive, i.e. the intrinsic motivation to learn as much as possible, and the embedding environment of an agent. Implementing artificial curiosity algorithms in robots that explore human-like environments results in the emergence of a hierarchical structure of learning and behaviour. This structure resembles the sequential emergence of behavioural patterns in human babies, culminating in social behaviours, such as face detection, tracking and attention-grabbing facial expressions. These results suggest that an embodied curiosity drive may be the progenitor of many social behaviours if satiated by a social environment. This article is part of the theme issue 'From social brains to social robots: applying neurocognitive insights to human-robot interaction'.
社交互动是日常生活中极其复杂但至关重要的组成部分。我们提出了一种自下而上的方法，即从好奇心驱动（即尽可能多地学习的内在动机）与主体所处的嵌入环境的相互作用中产生社交行为。在探索类人环境的机器人中实现人工好奇心算法会导致学习和行为的层次结构的出现。这种结构类似于人类婴儿行为模式的顺序出现，最终导致社交行为，例如面部检测、跟踪和引人注目的面部表情。这些结果表明，如果社交环境能够满足，那么一种具身的好奇心驱动力可能是许多社交行为的起源。本文是主题为“从社交大脑到社交机器人：将神经认知见解应用于人机交互”的一部分。
