7 citations · 16 across the 15 of their papers we have counts for
3 papers · 1 filter
The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning
Marko Cvjetko, Benedikt Hartl, Michael Levin +2
Existing methods for exploring cellular automata and other complex systems mostly operate in open loop: they set initial conditions, execute a full simulation, and observe the outc…
BraiNCA: brain-inspired neural cellular automata and applications to morphogenesis and motor control
Léo Pio-Lopez, Benedikt Hartl, Michael Levin
Most of the Neural Cellular Automata (NCAs) defined in the literature have a common theme: they are based on regular grids with a Moore neighborhood (one-hop neighbour). They do no…
Neural cellular automata: applications to biology and beyond classical AI
Benedikt Hartl, Michael Levin, Léo Pio-Lopez
Neural Cellular Automata (NCA) represent a powerful framework for modeling biological self-organization, extending classical rule-based systems with trainable, differentiable (or e…