mlsanityData to 14 Oct 2026

Intelligent behavior depends on the ecological niche: Scaling up AI to human-like intelligence in socio-cultural environments

arXiv 2103.06769 ↗First posted 11 Mar 2021cs.AI cs.CL cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

This paper outlines a perspective on the future of AI, discussing directions for machines models of human-like intelligence. We explain how developmental and evolutionary theories of human cognition should further inform artificial intelligence. We emphasize the role of ecological niches in sculpting intelligent behavior, and in particular that human intelligence was fundamentally shaped to adapt to a constantly changing socio-cultural environment. We argue that a major limit of current work in AI is that it is missing this perspective, both theoretically and experimentally. Finally, we discuss the promising approach of developmental artificial intelligence, modeling infant development through multi-scale interaction between intrinsically motivated learning, embodiment and a fastly changing socio-cultural environment. This paper takes the form of an interview of Pierre-Yves Oudeyer by Mandred Eppe, organized within the context of a KI - K"unstliche Intelligenz special issue in developmental robotics.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 35 references that are in the map. First posted on arXiv 11 Mar 2021.

Builds on

1 of 35 references.

References · 1

  1. 2020Language as a Cognitive Tool to Imagine Goals in Curiosity-Driven Explorationcited by 68

Built on by

Not cited yet.