Digital Ecosystems
An interactive browser-based platform for exploring multi-agent neural cellular automata ecosystems in real time. Watch digital species compete, cooperate, and evolve — then reach into the petri dish yourself.
Digital Ecosystems tl;dr We built an interactive browser-based platform for exploring multi-agent neural cellular automata ecosystems in real time. Multiple neural species compete for territory on a shared grid while learning via gradient descent. You can checkpoint the simulation, tweak parameters, and branch into alternative futures from the same starting point. We report five case studies spanning edge-of-chaos dynamics, emergent cooperation, and environmental construction. Try it live → Introduction Neural Cellular Automata learn local update rules through backpropagation, producing…
saved by
related reading
- Learning Sensorimotor Capabilities in Cellular Automatadevelopmentalsystems.org
- Towards self-organized controlavariengien.github.io
- [2506.22899] Neural Cellular Automata: From Cells to Pixelsarxiv.org
- Self-Assembly Gets Automated in Reverse of ‘Game of Life’ | Quanta Magazinequantamagazine.org
- [2607.02954] Microcosmos: Reimagining Artificial Life for the GPU Eraarxiv.org
- Artificial Lifeyoutube.com
- Patterns and problems in multiagent systemsanthropic.com
- [2411.00114] Project Sid: Many-agent simulations toward AI civilizationarxiv.org
- Introducing Un-0: Generating Images with Coupled Oscillatorsunconv.ai
- Complexity Explorables | Get a life!chakazul.github.io
- Lenia - Wikipediaen.wikipedia.org
- Towards building a World Model to simulate perturbation-induced cellular dynamics by AlphaCellbiorxiv.org