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:
this https URL

本文旨在将心理学的社会认知能力引入到人工智能的社交互动代理中，并提出了一个名为 SocialAI school 的工具，用于进行与社会性和认知能力有关的实 现实验的参数化环境。