The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents
Abstract
Developmental psychologists have long-established the importance 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 suite of procedurally generated environments, which simplifies conducting experiments regarding those concepts. We show examples of such experiments with RL agents and pure-text 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.
Cite
Text
Kovac et al. "The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents." ICML 2023 Workshops: ToM, 2023.Markdown
[Kovac et al. "The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents." ICML 2023 Workshops: ToM, 2023.](https://mlanthology.org/icmlw/2023/kovac2023icmlw-socialai/)BibTeX
@inproceedings{kovac2023icmlw-socialai,
title = {{The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents}},
author = {Kovac, Grgur and Portelas, Rémy and Dominey, Peter Ford and Oudeyer, Pierre-Yves},
booktitle = {ICML 2023 Workshops: ToM},
year = {2023},
url = {https://mlanthology.org/icmlw/2023/kovac2023icmlw-socialai/}
}