Neural Cellular Automata (NCA) is a class of Cellular Automata where the update rule is parameterized by a neural network that can be trained using gradient descent. In this paper …
The essential ingredient for studying the phenomena of emergence is the ability to generate and manipulate emergent systems that span large scales. Cellular automata are the model …
Reaction-Diffusion (RD) systems provide a computational framework that governs many pattern formation processes in nature. Current RD system design practices boil down to trial …
Abstract Neural Cellular Automata (NCA) models are trainable variations of traditional Cellular Automata (CA). Emergent motion in the patterns created by NCA has been …
QT Davis - arXiv preprint arXiv:2401.13111, 2024 - arxiv.org
Many simulated complex systems that support persistent self-organizing patterns, ie gliders, have a'state-plus-update'paradigm. This approach can be found in computational models of …
Self-replication is a fundamental skill present in every living system. Successful living systems must be able to produce offspring that is both capable of performing a set of …
Step size in continuous cellular automata (CA) plays an important role in the stability and behavior of self-organizing patterns. Continous CA dynamics are defined by formula very …
We introduce Biomaker CA: a Biome Maker project using Cellular Automata (CA). In Biomaker CA, morphogenesis is a first class citizen and small seeds need to grow into …