Report: Slave and Expert Systems

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  1960s - 1970s: Increased Research in Artificial Intelligence (AI)

During the cold war the U.S. tried to ensure that it would stay ahead of the Soviet Union in technological advancements. Therefore in 1963 the Defense Advanced Research Projects Agency (DARPA) granted the Massachusetts Institute of Technology (MIT) U.S.$ 2.2 million for research in machine-aided cognition (artificial intelligence). The major effect of the project was an increase in the pace of AI research and a continuation of funding.

In the 1960s and 1970s a multitude of AI programs were developed, most notably SHRDLU. Headed by Marvin Minsky the MIT's research team showed, that when confined to a small subject matter, computer programs could solve spatial and logic problems. Other progresses in the field of AI at the time were: the proposal of new theories about machine vision by David Marr, Marvin Minsky's frame theory, the PROLOGUE language (1972) and the development of expert systems.

browse Report:
Slave and Expert Systems
    Introduction: The Substitution of Human Faculties with Technology: Early Tools
-3   Late 1950s - Early 1960s: Second Generation Computers
-2   1961: Installation of the First Industrial Robot
-1   Late 1960s - Early 1970s: Third Generation Computers
0   1960s - 1970s: Increased Research in Artificial Intelligence (AI)
+1   1960s - 1970s: Expert Systems Gain Attendance
+2   1970s: Computer-Integrated Manufacturing (CIM)
+3   Late 1970s - Present: Fourth Generation Computers
+4   1980s: Artificial Intelligence (AI) - From Lab to Life
Machine vision
A branch of artificial intelligence and image processing concerned with the identification of graphic patterns or images that involves both cognition and abstraction. In such a system, a device linked to a computer scans, senses, and transforms images into digital patterns, which in turn are compared with patterns stored in the computer's memory. The computer processes the incoming patterns in rapid succession, isolating relevant features, filtering out unwanted signals, and adding to its memory new patterns that deviate beyond a specified threshold from the old and are thus perceived as new entities.