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20242026
most citedExploring Flow-Lenia Universes with a Curiosity-driven AI Scientist: Discovering Diverse Ecosystem Dynamics

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.AI20261 cited

Exploring Flow-Lenia Universes with a Curiosity-driven AI Scientist: Discovering Diverse Ecosystem Dynamics

Thomas Michel, Marko Cvjetko, Gautier Hamon +2

We present a curiosity-driven AI scientist method for discovering system-level dynamics in Flow-Lenia, a continuous cellular automaton (CA) with mass conservation and parameter loc…

cs.MA2026

Emergence of agriculture in an artificial society of reinforcement learning agents

Gautier Hamon, Martí Sánchez-Fibla, Clément Moulin-Frier +1

The origin of agriculture represents a major evolutionary transition and a paradigmatic example of how complex collective behaviors emerge from simple interactions. Here we introdu…

cs.AI2025

Expedition & Expansion: Leveraging Semantic Representations for Goal-Directed Exploration in Continuous Cellular Automata

Sina Khajehabdollahi, Gautier Hamon, Marko Cvjetko +3

Discovering diverse visual patterns in continuous cellular automata (CA) is challenging due to the vastness and redundancy of high-dimensional behavioral spaces. Traditional explor…

nlin.CG2025

Flow-Lenia: Emergent evolutionary dynamics in mass conservative continuous cellular automata

Erwan Plantec, Gautier Hamon, Mayalen Etcheverry +3

Central to the artificial life endeavour is the creation of artificial systems spontaneously generating properties found in the living world such as autopoiesis, self-replication,…

q-bio.PE2024

Emergent kin selection of altruistic feeding via non-episodic neuroevolution

Max Taylor-Davies, Gautier Hamon, Timothé Boulet +1

Kin selection theory has proven to be a popular and widely accepted account of how altruistic behaviour can evolve under natural selection. Hamilton's rule, first published in 1964…