Andrey Markov was a mathematician who was interested in randomness. In the jargon of probability theory, a mathematical object defined by a set of random variables is known as a ‘stochastic process’. Markov became interested in how much you could know about a stochastic process, and in his research he developed a model we now call the ‘Markov process’ – some people refer to it as a ‘Markov chain’. The Markov process examines the state of a system at a given time and attempts to project the next state of that system based on existing relationships.
Works in this series were part of the exhibitions Stedelijk Base and Release Early, Release Often.