Don't Predict the Future–Direct it! Comments on the intellectual history, the Logical and Applicative Visibility, and the Underlying Assumptions of Directed Evolution (DE)

The best way to predict the future is to invent it. —Alan Kay 1 It is obvious that there are patterns of cultural change—evolution in the neutral sense—and any theory of cultural change worth more than a moment's consideration will have to be Darwinian in the minimal sense of being consistent with the theory of evolution by natural selection of Homo sapiens. —Daniel Dennett 2 The future is here. It's just not widely distributed yet. —William Gibson 3 It is the magician's wand, by means of which he may summon into life whatever form and mould he pleases. —Charles Darwin commenting on the power of artificial selection 4 This article introduces an applied Theory of Evolution of Artificial Systems, called Directed Evolution (DE). The theory is grounded in fifty years of research on Inventive Engineering known as TRIZ, which started in the former Soviet Union by G. Altshuller and continues today. The theory has generated a set of Patterns and Lines of Evolution that represent a compilation of trends that document strong, historically recurring tendencies in the development of manmade systems in general and technological systems in particular. Directed Evolution is the systematic applied-oriented process for “predicting” future generations of a system by inventing them along these evolutionary patterns. The current article introduces the theory, reflects on its basic underlying logic, and provides a broad historical context and intellectual justification for such an effort. It shows that the quest of DE theory and practice falls well within the boundaries of past pursuits to identify evolutionary patterns of complex systems and to use these patterns to control and manipulate possible futures of artificial systems.

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