Abstract
In this paper, I review the role of cognitive psychology
in the origins of artificial intelligence and in the continuing pursuit
of its initial objectives. I consider some key ideas about representation,
performance, and learning that had their inception in computational
models of human behavior, and I argue that this approach to developing
intelligent artifacts, although no longer common, has an important place
in cognitive systems. Not only will research in this paradigm help us
understand the nature of human cognition, but findings from psychology
can serve as useful heuristics to guide our search for accounts of
intelligence. I present some constraints of this sort that future
research should incorporate, and I claim that another psychological
notion - cognitive architecture - is especially relevant to
developing unified theories of the mind. Finally, I suggest ways to
encourage renewed interaction between AI and cognitive psychology
to the advantage of both disciplines.
