Developmental psychologists have long-established the importance of socio-cognitive abilities in human intelligence. These abilities enable us to enter, participate and benefit from human culture. AI research on social interactive agents mostly concerns the emergence of culture in a multi-agent setting (often without a strong grounding in developmental psychology). We argue that AI research should be informed by psychology and study socio-cognitive abilities enabling to enter a culture too. We discuss the theories of Michael Tomasello and Jerome Bruner to introduce some of their concepts to AI and outline key concepts and socio-cognitive abilities. We present The SocialAI school - a tool including a customizable parameterized uite of procedurally generated environments, which simplifies conducting experiments regarding those concepts. We show examples of such experiments with RL agents and Large Language Models. The main motivation of this work is to engage the AI community around the problem of social intelligence informed by developmental psychology, and to provide a tool to simplify first steps in this direction. Refer to the project website for code and additional information: https://sites.google.com/view/socialai-school.

翻译：发展心理学家早已证实社会认知能力在人类智能中的关键作用。这些能力使我们能够进入、参与并受益于人类文化。关于社会交互智能体的人工智能研究主要关注多智能体环境中文化的涌现（通常缺乏发展心理学的强力支撑）。我们认为，人工智能研究应借鉴心理学，并研究那些使我们得以进入文化的社会认知能力。本文探讨了迈克尔·托马塞洛和杰罗姆·布鲁纳的理论，将这些概念引入人工智能领域，并概述了核心概念与社会认知能力。我们提出了SocialAI学校——一个包含可定制参数化程序生成环境套件的工具，可简化关于这些概念的实验。我们展示了基于强化学习智能体和大型语言模型的实验范例。本研究的主要动机是吸引人工智能社区关注以发展心理学为基础的社会智能问题，并为该方向的初步探索提供简易工具。代码及更多信息请访问项目网站：https://sites.google.com/view/socialai-school。