This post is part of a series on the history of computing in sociocultural anthropology.
Last week, I surveyed mid-century formalist approaches to computing and culture, which took culture as ideational — a matter of mental states, structures, or content. Ethnoscience and cognitive anthropology epitomized this attitude toward culture, taking part in a cross-disciplinary “cognitive revolution.” As Paul Edwards has outlined, computers were central to the emergence of cognitive science, which was founded on an understanding of the mind-brain relation by analogy to software and hardware. George Miller, a pioneer of cognitive psychology, suggested that computers helped collapse the behaviorist paradigm. Where behaviorism limited psychologists’ theorizing to the mind’s strictly observable “outputs” — lever pulls and all that — the computer offered a model for thinking about “memory, syntactic rules, plans, schemata, and the like.” These notions could be instantiated in actual computers, providing a working model of what was going on in the mind. As Miller said: “We didn’t believe that computers were giant brains, but we could see the similarities.”
However, cognitive and otherwise ideational approaches to culture did not have a monopoly on computational models and methods.