On 14 August 1952 the Philosophical Transactions of the Royal Society of London, Series B, published Alan Turing’s paper “The Chemical Basis of Morphogenesis,” in volume 237, issue 641, pages 37 to 72. Best known for his work on computation and machine intelligence, Turing here turned to biology and asked how a developing organism, starting from a nearly uniform ball of cells, comes to have stripes, spots, and organized structure.
His answer introduced what he called morphogens: chemical substances that react with one another and diffuse through tissue. Turing showed mathematically that a system with an activator that promotes its own production and an inhibitor that spreads faster can be unstable, so that tiny random differences in concentration get amplified into regular, large-scale patterns. This reaction-diffusion mechanism explained how order can emerge from near-uniformity without any external blueprint directing it. In the paper’s final section Turing noted that more complex cases could be worked out on a digital computer, and he in fact explored such calculations on the Ferranti Mark I at Manchester.
The paper belongs in the prehistory of artificial intelligence because it is a foundational study of self-organization: complex, structured behavior arising from simple local rules. That idea connects directly to cellular automata, neural networks, and other systems in which intelligence or order is an emergent property rather than something explicitly programmed. The primary source used here is the full text of the paper hosted at Caltech.
For a general reader, the takeaway is that one of computing’s founders also showed that rich pattern and structure can self-assemble from plain rules, a principle that underlies much of how modern AI systems learn.