In 1950, Alan Turing, the British mathematician, cryptographer, and
computer pioneer, looked to the future: now that the conceptual and
technical parameters for electronic brains had been established, what
kind of intelligence could be built? Should machine intelligence mimic
the abstract thinking of a chess player or should it be more like the
developing mind of a child? Should an intelligent agent only think, or
should it also learn, feel, and grow?
Affect and Artificial Intelligence is the first in-depth analysis of
affect and intersubjectivity in the computational sciences. Elizabeth
Wilson makes use of archival and unpublished material from the early
years of AI (1945-70) until the present to show that early researchers
were more engaged with questions of emotion than many commentators have
assumed. She documents how affectivity was managed in the canonical
works of Walter Pitts in the 1940s and Turing in the 1950s, in projects
from the 1960s that injected artificial agents into psychotherapeutic
encounters, in chess-playing machines from the 1940s to the present, and
in the Kismet (sociable robotics) project at MIT in the 1990s.