From the 1 of 5 linked papers with an AI index.
5 papers
Grounded world models in biological organisms and future embodied AI
Giovanni Pezzulo, Davide Nuzzi, Marco D'Alessandro +3
The paper compares how biological organisms develop grounded world models through interaction with the environment to current AI systems that rely on passive, language‑driven train…
What the flock knows that the birds do not: exploring the emergence of joint agency in multi-agent active inference
Domenico Maisto, Davide Nuzzi, Giovanni Pezzulo
Collective behavior pervades biological systems, from flocks of birds to neural assemblies and human societies. Yet, how such collectives acquire functional properties -- such as j…
A Rate-Distortion Perspective on the Emergence of Number Sense in Unsupervised Generative Models
Leo D'Amato, Davide Nuzzi, Alberto Testolin +3
Number sense is a core cognitive ability supporting various adaptive behaviors and is foundational for mathematical learning. Here, we study its emergence in unsupervised generativ…
Structuring the Environment Nudges Participants Toward Hierarchical Over Shortest Path Planning
Valeria Simonelli, Davide Nuzzi, Gian Luca Lancia +1
Effective planning is crucial for navigating complex environments and achieving goals efficiently. In this study, we investigated how environmental structure influences the selecti…
Human foraging strategies flexibly adapt to resource distribution and time constraints
Valeria Simonelli, Davide Nuzzi, Gian Luca Lancia +1
Foraging is a crucial activity, yet the extent to which humans employ flexible versus rigid strategies remains unclear. This study investigates how individuals adapt their foraging…