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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

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