Growing models were trained to generate patterns, but don't know how to persist them.
Some patterns explode, some decay, but some happen to be almost stable or even …

Cellular automata (CA) are a class of computational models that exhibit rich dynamics
emerging from the local interaction of cells arranged in a regular lattice. In this work we focus …

Abstract Neural Cellular Automata (NCAs) have been proven effective in simulating
morphogenetic processes, the continuous construction of complex structures from very few …

Neural cellular automata (Neural CA) are a recent framework used to model biological
phenomena emerging from multicellular organisms. In these systems, artificial neural …

Morphological regeneration is an important feature that highlights the environmental
adaptive capacity of biological systems. Lack of this regenerative capacity significantly limits …

Biological nervous systems are created in a fundamentally different way than current
artificial neural networks. Despite its impressive results in a variety of different domains …

Artificial neural networks (ANNs) can be employed as controllers for robotic agents. Their
structure is often complex, with many neurons and connections, especially when the robots …

Abstract Large Language Models (LLMs) have taken the field of AI by storm, but their
adoption in the field of Artificial Life (ALife) has been, so far, relatively reserved. In this work …

In nature, the process of cellular growth and differentiation has lead to an amazing diversity
of organisms--algae, starfish, giant sequoia, tardigrades, and orcas are all created by the …

Voxel-based Soft Robots (VSRs) are a form of modular soft robots, composed of several
deformable cubes, ie, voxels. Each VSR is thus an ensemble of simple agents, namely the …