Coralai: Intrinsic Evolution of Embodied Neural Cellular Automata Ecosystems

Autor:	Barbieux, Aidan, Canaan, Rodrigo
Rok vydání:	2024
Předmět:	Computer Science - Neural and Evolutionary Computing Computer Science - Machine Learning Computer Science - Multiagent Systems
Druh dokumentu:	Working Paper
Popis:	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 https://github.com/aidanbx/coralai , video demos are available at https://www.youtube.com/watch?v=NL8IZQY02-8 . Comment: 3 pages, 2 figures. ALIFE 2024 Copenhagen
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2406.09654 Zobrazit plný text záznamu View this record from Arxiv