Editing Douglas Lenat (section)

==A call for "common sense"==
Lenat (working with John Seely Brown at Xerox PARC) published in 1984 an analysis of what were the limitations of his AM and Eurisko lines of research.<ref name="Why" />  It concluded that progress toward real, general, symbolic AI would require a vast knowledge base of "common sense", suitably formalized and represented, and an inference engine capable of finding tens- or hundreds-deep conclusions and arguments that followed from the application of that knowledge base to specific questions and applications.<ref name="Knoes" />

The successes, and analysis of the limitations, of this AM and Eurisko approach to AI, and the concluding plea for the massive (multi-thousand-person-year, decades-long) R&D effort would be required to break that bottleneck to AI, led to attention in 1982 from [[Bobby Ray Inman|Admiral Bob Inman]] and the then-forming [[Microelectronics and Computer Technology Corporation|MCC]] research consortium in [[Austin, Texas]], culminating in Lenat's becoming principal scientist of MCC from 1984–1994, though he continued even after this period to return to Stanford to teach approximately one course per year.  At the 400-person MCC, Lenat was able to have several dozen researchers work on that [[Commonsense knowledge (artificial intelligence)|common sense knowledge]] base, rather than just a few graduate students.{{cn|date=September 2023}}