
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.
49 pages, 20 figures, 7 tables; accepted by Complex Systems
FOS: Computer and information sciences, Cellular Automata and Lattice Gases (nlin.CG), Computer Science - Neural and Evolutionary Computing, FOS: Physical sciences, Neural and Evolutionary Computing (cs.NE), Pattern Formation and Solitons (nlin.PS), Nonlinear Sciences - Cellular Automata and Lattice Gases, Nonlinear Sciences - Pattern Formation and Solitons
FOS: Computer and information sciences, Cellular Automata and Lattice Gases (nlin.CG), Computer Science - Neural and Evolutionary Computing, FOS: Physical sciences, Neural and Evolutionary Computing (cs.NE), Pattern Formation and Solitons (nlin.PS), Nonlinear Sciences - Cellular Automata and Lattice Gases, Nonlinear Sciences - Pattern Formation and Solitons
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