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Going Nuclear: Notes from the officially unofficial book tour
I work in the analytical labs at one of Europe’s oldest and largest nuclear sites: Sellafield, in northwestern England. I spend my days at the fume hood front, pipette in one hand and radiation probe in the other (and dosimeter pinned to my chest, of course). Outside the lab, I have a second job: I moonlight as a writer and public speaker. My new popular science book—Going Nuclear: How the Atom Will Save the World—came out last summer, and it feels like my life has been running at full power ever since.
ames L. Macdonald, Billy V. Koen
Nuclear Science and Engineering | Volume 56 | Number 2 | February 1975 | Pages 142-151
Technical Paper | doi.org/10.13182/NSE75-A26653
Articles are hosted by Taylor and Francis Online.
This paper investigates the application of two artificial intelligence techniques, heuristic programming and learning theory, to the problem of digital computer control of nuclear reactors. The purpose of using an artificial intelligence approach is to alleviate the requirement for a detailed mathematical model of the nuclear reactor system. A control system is developed ivhich demonstrates the primary features of such an approach. Results are shown for several reactor and control problem variations using a computer simulated reactor.