We report a new system of artificial life called Lenia (from Latin lenis "smooth"), a two-dimensional cellular automaton with continuous space-time-state and generalized local rule. Computer simulations show that Lenia supports a great diversity of complex autonomous patterns or "lifeforms" bearing resemblance to real-world microscopic organisms. More than 400 species in 18 families have been identified, many discovered via interactive evolutionary computation. They differ from other cellular automata patterns in being geometric, metameric, fuzzy, resilient, adaptive, and rule-generic. We present basic observations of the system regarding the properties of space-time and basic settings. We provide a broad survey of the lifeforms, categorize them into a hierarchical taxonomy, and map their distribution in the parameter hyperspace. We describe their morphological structures and behavioral dynamics, propose possible mechanisms of their self-propulsion, self-organization and plasticity. Finally, we discuss how the study of Lenia would be related to biology, artificial life, and artificial intelligence.
翻译：我们报告了一个名为Lenia(来自拉丁 Lenis “smooth”)的新的人工生命系统,这是一个双维细胞自成体,具有连续的空间时间状态和普遍的地方规则。计算机模拟显示,Lenia支持与现实世界微生物相似的多种复杂的自主模式或“生命形态”。18个家庭中的400多个物种已经查明,其中许多是通过交互进化计算发现的。它们与其他细胞自成体模式不同,它们是几何、米米米里、烟雾、适应性、适应性和规则性。我们介绍了该系统关于空间时间和基本环境特性的基本观察。我们提供了对生命形态的广泛调查,将其分类为等级分类,并在参数超空格中绘制其分布图。我们描述了它们的形态结构和行为动态,提出了它们自我适应、自我组织和可塑性的可能机制。最后,我们讨论了对莱尼亚的研究如何与生物学、人造生命和人工智能相关。
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