Cognitive Systems Paradigm - P Langley

This week  Reader
important points, ie in the beginning, there was no separation between AI
and Cognitive Systems

*  The early days of artificial intelligence were guided by a common
vision: understanding and reproducing, in computational systems, the full
range of intelligent behavior that we observe in humans. Many researchers
continued to share these aims until the 1980s and 1990s, when AI began to
fragment into a variety of specialized subdisciplines, each with far more
limited objectives. This produced progress in each area, but, in the
process, many abandoned the field’s original goal. Rather than creating
intelligent systems with the same breadth and flexibility as humans, most
recent research has produced impressive but narrow idiot savants. The
field’s central goal was to understand the nature of the mind. This is one
of the core aims of science, on an equal footing with questions about the
nature of the universe, the nature of matter, and the nature of life. As
such, it deserves the same respect and attention it received during
discipline’s initial periods. However, since mainstream AI has largely
abandoned this goal, we require a new name for research that remains
committed to the original vision. For this purpose, I propose the phrase
cognitive systems, which Brachman and Lemnios (2002) championed at DARPA in
their efforts to encourage research in this early tradition. As we will see
later, this label incorporates some key ideas behind the movement  *



  The Cognitive Systems Paradigm
P Langley
http://www.cogsys.org/pdf/paper-1-2.pdf