‘Adaptive Fa[ca]de’ explores the functional possibilities and performative characteristics of cellular automata (CA). In addition to the unique emergent behaviour of CA, a neural network enables a further computational layer to evolve CA behaviour to the context of its surrounding environment. Building upon the early work of Conway’s ‘Game of life’ and Stephen Wolfram’s extensive research on the wider implementation of CA, ‘Adaptive Fa[ca]de’ becomes a living adapting skin, constantly training itself from the history of its own errors and achievements.

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