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astronomy

Ronald J. Brachman

Ronald J. Brachman is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Ronald J. Brachman rather than just read about it. In short: Ronald Jay "Ron" Brachman (born 1949) is the director of the Jacobs Technion-Cornell Institute at Cornell Tech. Previously, he was the Chief Scientist of Yahoo! and head of Yahoo!

Key takeaways

  • Ronald J. Brachman belongs to astronomy; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Ronald J. Brachman to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Ronald J. Brachman from memory before moving on to harder problems.

Reference excerpt

Ronald Jay "Ron" Brachman (born 1949) is the director of the Jacobs Technion-Cornell Institute at Cornell Tech. Previously, he was the Chief Scientist of Yahoo! and head of Yahoo! Labs (Now Yahoo! Research). Prior to that, he was the Associate Head of Yahoo! Labs and Head of Worldwide Labs and Research Operations.

Education Brachman earned his B.S.E.E. degree from Princeton University, and his S.M. and Ph.D. degrees from Harvard University.

Career Prior to working at Yahoo!, Brachman worked at DARPA as the Director of the Information Processing Techniques Office (IPTO), one of DARPA's eight offices at the time. While at IPTO, he helped develop DARPA's Cognitive Systems research efforts. Before that, he worked at AT&T Bell Laboratories (Murray Hill, New Jersey) as the Head of the Artificial Intelligence Principles Research Department (2004) and Director of the Software and Systems Research Laboratory. When AT&T split with Lucent in 1996, he became Communications Services Research Vice President and was one of the founders of AT&T Labs. He is considered by some to be the godfather of description logic, the logic-based knowledge representation formalism underlying the Web Ontology Language OWL. He was elected a Fellow of the Association for the Advancement of Artificial Intelligence in 1990. He was a resident of Westfield, New Jersey.

Publications He is the co-author with Hector Levesque of a popular book on knowledge representation and reasoning and many scientific papers.

References

External links External biography. Archived 2008-01-17 at the Wayback Machine. Google Scholar – Ronald J. Brachman

Worked examples

Example 1 — a first encounter with Ronald J. Brachman

Start with the simplest possible case. Write down what Ronald J. Brachman claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Ronald J. Brachman before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Ronald J. Brachman ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Ronald J. Brachman

In research
Ronald J. Brachman appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Ronald J. Brachman in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Ronald J. Brachman is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1959 births, American artificial intelligence researchers, Computer specialist stubs, so understanding it makes those chapters shorter.
In everyday life
Look for Ronald J. Brachman outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Ronald J. Brachman in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Ronald J. Brachman means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Ronald J. Brachman out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Ronald J. Brachman in simple terms?

Ronald Jay "Ron" Brachman (born 1949) is the director of the Jacobs Technion-Cornell Institute at Cornell Tech. Previously, he was the Chief Scientist of Yahoo! and head of Yahoo!

Why does Ronald J. Brachman matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Ronald J. Brachman?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Ronald J. Brachman.

Tags

  • 1959 births
  • American artificial intelligence researchers
  • Computer specialist stubs
  • Cornell Tech faculty
  • Fellows of the Association for the Advancement of Artificial Intelligence
  • Fellows of the IEEE
  • Harvard University alumni
  • Knowledge representation
  • Living people
  • Presidents of the Association for the Advancement of Artificial Intelligence
  • Princeton University School of Engineering and Applied Science alumni
  • Yahoo! employees

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