entire book - Chris Hables Gray
entire book - Chris Hables Gray
entire book - Chris Hables Gray
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Military Computerdom [ 53 ]<br />
Germany is working closely with the United States on expert systems for<br />
tactical aircraft as well as other projects. China's military AI research is<br />
mainly in the areas of simulation, translation, and training. Japan, with one<br />
of the largest and fastest growing defense budgets, probably has a large<br />
military computing program, but it is veiled in secrecy.<br />
The Strategic Computing Program and<br />
Strategic Defense Initiative<br />
With the SCP, formally started in October 1983, the DoD was trying to<br />
develop the next generation of computing technology within a military<br />
context (Guice, 1994). The SDI battle manager, the computer system that<br />
was supposed to control the SDI sensors and weapons, was the largest and<br />
most complex software project up to that time. It was conceptually (though<br />
not administratively) a part of SCP. Making the scientific breakthroughs in<br />
computing that the SDI needed was a key goal of the SCP.<br />
The original SCP demonstration projects (the autonomous land vehicle,<br />
pilot's associate, and naval battle manager) were augmented by the<br />
AirLand Battle (ALB) manager, radar imagery analysis, and smart weapons,<br />
all examples of concrete military applications. There was also the related<br />
submarine commander's associate program. Flashy as these projects were,<br />
what made SCP particularly important was its attempt to revolutionize<br />
machine intelligence. Without basic breakthroughs in computer architecture,<br />
symbolic processing, and other areas, these military AI projects would<br />
be impossible to produce. As Stephen Squires, then assistant director of<br />
DARPAs Information Processing Techniques Office, put it, "We're really<br />
trying to develop a fundamentally new type of computing technology, not<br />
simply new hardware" (Aviation Week & Space Technology Staff, 1986, p. 49).<br />
The demonstration projects depended on advances in a number of<br />
subfields: mechanical vision, speech recognition, natural language processing,<br />
and expert systems technology. The work in these areas was dependent,<br />
in turn, on innovations and discoveries in the areas of hardware and software<br />
development that were supposed to increase computer performances many<br />
times over, as well as produce vast improvements in automated manufacturing<br />
and technology transfer between the military and civilian sectors of the<br />
computer industry.<br />
Most of these goals were not met. The autonomous land vehicle<br />
prototype, for example, was terminated because of such difficulties as distinguishing<br />
shadows from objects and roadways from ditches. While there were<br />
discoveries and improvements in multiple processing and speech recognition,<br />
in other areas there was minimal progress (Pollack, 1989).<br />
For another example, the original SCP report predicted reasoning with<br />
uncertainty abilities in place for battle management by the end of 1985