What makes people smarter than computers? These volumes by a
pioneering neurocomputing group suggest that the answer lies in the
massively parallel architecture of the human mind. They describe a
new theory of cognition called connectionism that is challenging
the idea of symbolic computation that has traditionally been at the
center of debate in theoretical discussions about the mind.
The authors' theory assumes the mind is composed of a great
number of elementary units connected in a neural network. Mental
processes are interactions between these units which excite and
inhibit each other in parallel rather than sequential operations.
In this context, knowledge can no longer be thought of as stored in
localized structures; instead, it consists of the connections
between pairs of units that are distributed throughout the
network.
Volume 1 lays the foundations of this exciting theory of
parallel distributed processing, while Volume 2 applies it to a
number of specific issues in cognitive science and neuroscience,
with chapters describing models of aspects of perception, memory,
language, and thought.
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