Sakana AI 发布 Digital Ecosystems：交互式多智能体神经细胞自动机平台
Digital Ecosystems: Interactive Multi-Agent Neural Cellular Automata
Sakana AI 发布 Digital Ecosystems，一个可在浏览器中运行的交互式人工生命研究平台。多个小型 CNN 共享 2D 网格、仅感知 3x3 邻域，通过攻击与防御争夺领地，并在模拟过程中用梯度下降在线学习；梯度下降不仅优化策略，还起到稳定整个系统的作用。用户可绘制墙壁、在线擦除区域并调节 40+ 系统参数，全部在浏览器客户端运行，无需安装。
正文
当前显示原文，中文全文译文尚未就绪。
What happens when you put competing neural networks in a Petri Dish and start changing the rules while they adapt?
Last year we released Petri Dish NCA, where neural nets are the organisms that learn during simulation. Today we’re releasing Digital Ecosystems: a browser-based platform for interactive artificial life research.
The setup: several small CNNs share a 2D grid, each seeing only a 3x3 neighborhood. No global plan. They compete for territory by attacking neighbours and defending against incoming attacks, learning via gradient descent online while the simulation runs.
What we didn’t expect was the role of the learning itself. Gradient descent isn’t just optimising each species’ strategy. Instead, it acts to stabilize the whole system during simulation. Species that overextend get pushed back by the loss. Species that stagnate get nudged to grow. This means you can push parameters toward edge-of-chaos regimes: a zone characterised by emergent complexity. Letting the neural networks learn acts to hold the complex system together while you explore and interact.
The platform lets you steer all of this interactively. You can draw walls to create niches, erase parts of the system online, and tune 40+ system parameters to explore the most interesting configurations. We find it mesmerizing to watch species carve out territories and reorganise when you perturb them.
Everything runs client-side in your browser, no install needed.