Artificial Life

Artificial life (ALife) is a scientific field that studies life-like processes through computational models, robotic systems, and biochemical synthesis, with the dual aim of understanding what life essentially is and constructing new forms of it. Founded as an explicit discipline by Christopher Langton in the late 1980s, ALife encompasses digital evolution (AVIDA, Tierra), cellular automata (Conway's Game of Life), evolutionary algorithms, Neuroevolution, swarm intelligence, and synthetic biology. Its central hypothesis is that life is a pattern, not a substrate — that the essential properties of living systems (self-replication, adaptation, evolvability, metabolism) can be instantiated in silicon, logic, or chemistry without requiring biological molecules. This hypothesis has been partially but not fully validated: ALife systems reproduce many properties of biological evolution (selection, drift, adaptation) but have not yet produced open-ended evolution — the indefinite generation of genuine novelty across organizational levels. The gap between what ALife systems can do and what biological life has done over 3.8 billion years is one of the field's central unsolved problems, and the leading diagnostic is that biological machines have properties of self-referential updating, physical embeddedness, and emergent modularity that no current artificial system has been engineered to match.