This paper presents Coralai, a framework for exploring diverse ecosystems of
Neural Cellular Automata (NCA). Organisms in Coralai utilize modular,
GPU-accelerated Taichi kernels to interact, enact environmental changes, and
evolve through local survival, merging, and mutation operations implemented
with HyperNEAT and PyTorch. We provide an exploratory experiment implementing
physics inspired by slime mold behavior showcasing the emergence of competition
between sessile and mobile organisms, cycles of resource depletion and
recovery, and symbiosis between diverse organisms. We conclude by outlining
future work to discover simulation parameters through measures of multi-scale
complexity and diversity. Code for Coralai is available at
this https URL , video demos are available at
this https URL .

Coralai 是一个用于探索神经元元胞自动机（NCA）多样化生态系统的框架，通过使用模块化的 GPU 加速 Taichi 内核，以 HyperNEAT 和 PyTorch 实现的局部存活、合并和变异操作，实现了生物在 Coralai 中的相互作用、环境变化和进化。通过模拟黏菌行为的物理实验，展示了固定和移动生物之间的竞争、资源消耗和恢复循环以及多样化生物之间的共生关系。同时提出未来研究工作的设想，通过多尺度复杂性和多样性的度量来发现模拟参数。Coralai 的代码可在该 URL 获取，视频演示可在该 URL 获取。