11 Facts About Douglas Lenat

Douglas Bruce Lenat was born on 1950 and is the CEO of Cycorp, Inc of Austin, Texas, and has been a prominent researcher in artificial intelligence; he was awarded the biannual IJCAI Computers and Thought Award in 1976 for creating the machine learning program, AM.

Douglas Lenat has worked on machine learning, knowledge representation, "cognitive economy", blackboard systems, and what he dubbed in 1984 "ontological engineering" .

Douglas Lenat has worked in military simulations, and numerous projects for US government, military, intelligence, and scientific organizations.

Douglas Lenat authored a series of articles in the Journal of Artificial Intelligence exploring the nature of heuristic rules.

Douglas Lenat attended Cheltenham High School, in Wyncote PA, where his after-school job at the neighboring Beaver College was cleaning rat cages and then goose pens, which motivated him to learn to program as a path to a very different after-school and summer job, and eventually career.

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Douglas Lenat received his bachelor's degree in Mathematics and Physics, and his master's degree in Applied Mathematics, all in 1972, from the University of Pennsylvania.

Douglas Lenat's thesis, AM was one of the first computer programs that attempted to make discoveries, i e, to be a theorem proposer rather than a theorem prover.

In 1976 Douglas Lenat started teaching as an assistant professor of Computer Science at Carnegie Mellon and commenced his work on the AI program Eurisko.

Douglas Lenat returned to Stanford as an assistant professor of Computer Science in 1978 and continued his research building the Eurisko automated discovery and heuristic-discovery program.

Unlike the vast preponderance of published scientific results, Douglas Lenat published in 1984 a thorough and frank analysis of what were the limitations of his AM and Eurisko lines of research.

At the 400-person MCC, Douglas Lenat was able to have several dozen researchers work on that common sense knowledge base, rather than just a few graduate students.