"CONSCIENTIOUS Machines: Will AI Solve for Human?"
The YRT Team announces the next Faculty Roundtable at Yale to be held on Wednesday, Feb. 20, 2018. The topic will be presented by Drew McDermott. He will provide context for the faculty participants to consider some of the perspectives and implications of the near future of research and applications of artificial intelligence.
Drew McDermott is a Professor of Computer Science at Yale University. He earned his B.S. and PhD from MIT and has taught at Yale since 1976. His primary research has been in various areas related to artificial intelligence. He did seminal work in Non-monotonic logic in the early 1980s, and was an advocate for the "logicist" methodology in AI, defined as formalizing knowledge and reasoning in terms of deduction and quasideduction. In 1990 he was named a Fellow of the Association for the Advancement of Artificial Intelligence, one of the first group of Fellows. In 1996 he (and Hector Geffner and Blai Bonet independently) discovered "estimated-regression planning", based on the idea of heuristic search with an estimator derived from a simplified domain model by reasoning backward ("regression") from the goal. He continues his research and writing in cognitive science, specifically artificial intelligence and philosophy.
The Faculty Roundtable is sponsored by the Rivendell Institute at Yale University.
