Abstract
AbstractThe use of computers for simulation work can be traced back to the 1950s, and the pioneering work of Stafford Beer, KD Tocher and others at Cybor House in Sheffield, UK, the research and development (R&D) department of British steelmakers, United Steel. This innovative simulation work sought to offer an abstracted, ‘total’ environment of the steelmaking process in which different operational activities could be modeled. Critical to this work was the ability of computer simulations to perform such modelling at a fraction of the cost, wasting fewer material resources, and in a considerably shorter timeframe. Such work can be understood as the earliest example of the application of industrial-scale ‘automated computation’ to a real-world industrial process. Similarly indebted to the early principles of computer simulation, Waymo engineers are also engaged in the building of so-called ‘conflict typologies’ designed to encode material properties of everyday driving interactions between road users, rather than simply road users themselves. Through ‘motion planning’, coupled with the categorization of driving interactions, Waymo engineers build instrumental understanding of their own system’s purported intelligence in navigating everyday driving situations. Functioning as ‘generative mechanisms’ rather than simply evaluative devices, engineers seek to industrialize—instrumentalize, scale up, rationalize—everyday driving knowledge. Through conflict typologies, instrumental knowledge of the actual capacities of autonomous vehicles is industrialized, materialized, and realized.
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