Age, Biography and Wiki
Drew McDermott was born on 27 December, 1949, is an American computer scientist (1949–2022). Discover Drew McDermott's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is he in this year and how he spends money? Also learn how he earned most of networth at the age of 72 years old?
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72 years old |
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Capricorn |
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27 December, 1949 |
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27 December |
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Date of death |
26 May, 2022 |
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American
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We recommend you to check the complete list of Famous People born on 27 December.
He is a member of famous computer with the age 72 years old group.
Drew McDermott Height, Weight & Measurements
At 72 years old, Drew McDermott height not available right now. We will update Drew McDermott's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.
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Dating & Relationship status
He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.
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Drew McDermott Net Worth
His net worth has been growing significantly in 2023-2024. So, how much is Drew McDermott worth at the age of 72 years old? Drew McDermott’s income source is mostly from being a successful computer. He is from American. We have estimated Drew McDermott's net worth, money, salary, income, and assets.
Net Worth in 2024 |
$1 Million - $5 Million |
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Under Review |
Net Worth in 2023 |
Pending |
Salary in 2023 |
Under Review |
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Source of Income |
computer |
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Timeline
Drew McDermott (December 27, 1949 – May 26, 2022 ) was a professor of Computer Science at Yale University.
He was known for his contributions in artificial intelligence and automated planning.
Drew McDermott earned B.S., M.S., and Ph.D. degrees from the Massachusetts Institute of Technology (MIT).
McDermott was married in 1975, divorced in 1997, and remarried the same year.
He has two children from his first marriage.
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.
He became a tenured full professor at Yale in 1983.
In 1987 he published a paper criticizing the logicist approach.
The critique was based partly on a previous paper (with Steve Hanks) pointing out a flaw with all known approaches to nonmonotonic temporal reasoning, embodied in what is now called the Yale shooting problem.
Although new approaches have since been found, McDermott turned to other areas of AI, such as vision and robotics, and began working on automated planning again.
His work on planning focused on the "classical" case rather than on hierarchical task network planning.
In 1990 he was named a Fellow of the Association for the Advancement of Artificial Intelligence, one of the first group of Fellows.
He served as Chair of the Department from 1991 to 1995.
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.
The simplified version is obtained automatically from a full domain model by ignoring propositions deleted by actions.
He and his second wife, Judy Nugent, lived in New Haven, Connecticut since 1999.
In 2000 he got interested in logic again because the development of the semantic web made it seem newly applicable.
He did work on ontology translation and on semantic web services.
McDermott was a prime mover, with James Hendler and others, behind the AI Planning Systems Conference, which, after merging with the European Conference on Planning, became the annual International Conference on Automated Planning and Scheduling (ICAPS).
He also helped start the International Planning Competition, which is held semiannually in conjunction with ICAPS.
He led the group that molded the Planning Domain Definition Language from several predecessor notations in order to provide a standard notation for input to planning systems.
A sideline of his work has been an interest in the philosophy of mind, stemming from his realization as a child that "electronic brains" do not have a "part that thinks", and that therefore biological brains probably don't either.
This interest culminated in the publication in 2001 of a book on computational models of consciousness.
His research has been in the area of artificial intelligence, with side excursions into philosophy.
His Ph.D. dissertation was in the area of automated planning.
In that work, he coined the term "task network" to refer to hierarchies of abstract and concrete actions and policies.