This is a book whose time has come-again. The first edition (published
by McGraw-Hill in 1964) was written in 1962, and it celebrated a number
of approaches to developing an automata theory that could provide
insights into the processing of information in brainlike machines,
making it accessible to readers with no more than a college freshman's
knowledge of mathematics. The book introduced many readers to aspects of
cybernetics-the study of computation and control in animal and machine.
But by the mid-1960s, many workers abandoned the integrated study of
brains and machines to pursue artificial intelligence (AI) as an end in
itself-the programming of computers to exhibit some aspects of human
intelligence, but with the emphasis on achieving some benchmark of
performance rather than on capturing the mechanisms by which humans were
themselves intelligent. Some workers tried to use concepts from AI to
model human cognition using computer programs, but were so dominated by
the metaphor "the mind is a computer" that many argued that the mind
must share with the computers of the 1960s the property of being serial,
of executing a series of operations one at a time. As the 1960s became
the 1970s, this trend continued. Meanwhile, experi- mental neuroscience
saw an exploration of new data on the anatomy and physiology of neural
circuitry, but little of this research placed these circuits in the
context of overall behavior, and little was informed by theoretical con-
cepts beyond feedback mechanisms and feature detectors.