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The SocialAI school: a framework leveraging developmental psychology toward artificial socio-cultural agents

Authors :
Grgur Kovač
Rémy Portelas
Peter Ford Dominey
Pierre-Yves Oudeyer
Source :
Frontiers in Neurorobotics, Vol 18 (2024)
Publication Year :
2024
Publisher :
Frontiers Media S.A., 2024.

Abstract

Developmental psychologists have long-established socio-cognitive abilities as fundamental to human intelligence and development. These abilities enable individuals to enter, learn from, and contribute to a surrounding culture. This drives the process of cumulative cultural evolution, which is responsible for humanity's most remarkable achievements. 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 as well. We draw inspiration from the work of Michael Tomasello and Jerome Bruner, who studied socio-cognitive development and emphasized the influence of a cultural environment on intelligence. We outline a broader set of concepts than those currently studied in AI to provide a foundation for research in artificial social intelligence. Those concepts include social cognition (joint attention, perspective taking), communication, social learning, formats, and scaffolding. To facilitate research in this domain, we present The SocialAI school—a tool that offers a customizable parameterized suite of procedurally generated environments. This tool simplifies experimentation with the introduced concepts. Additionally, these environments can be used both with multimodal RL agents, or with pure-text Large Language Models (LLMs) as interactive agents. Through a series of case studies, we demonstrate the versatility of the SocialAI school for studying both RL and LLM-based agents. Our motivation is to engage the AI community around social intelligence informed by developmental psychology, and to provide a user-friendly resource and tool for initial investigations in this direction. Refer to the project website for code and additional resources: https://sites.google.com/view/socialai-school.

Details

Language :
English
ISSN :
16625218
Volume :
18
Database :
Directory of Open Access Journals
Journal :
Frontiers in Neurorobotics
Publication Type :
Academic Journal
Accession number :
edsdoj.19790f2f437b4033899aed974ef79c40
Document Type :
article
Full Text :
https://doi.org/10.3389/fnbot.2024.1396359