astronomy

Kevin Leyton-Brown

Kevin Leyton-Brown 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 Kevin Leyton-Brown rather than just read about it. In short: Kevin Leyton-Brown (born May 12, 1975) is a Professor of Computer Science at the University of British Columbia. Education He received his Ph.D. at Stanford University in 2003.

Key takeaways

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

Reference excerpt

Kevin Leyton-Brown (born May 12, 1975) is a Professor of Computer Science at the University of British Columbia.

Education He received his Ph.D. at Stanford University in 2003.

Career Leyton-Brown co-teaches a popular game theory course on Coursera.org, along with Matthew O. Jackson and Yoav Shoham. Leyton-Brown serves as an associate editor for the Journal of Artificial Intelligence Research, the Artificial Intelligence journal, and ACM Transactions on Economics and Computation, and was program chair for the ACM Conference on Electronic Commerce in 2012. Leyton-Brown's research is at the intersection of computer science and microeconomics, addressing computational problems in economic contexts and incentive issues in multiagent systems. He also studies the application of machine learning to the automated design and analysis of algorithms for solving hard computational problems. In 2023, Leyton-Brown was named a Fellow of the Royal Society of Canada.

Awards and honors Leyton-Brown and coauthors have received the IJCAI-JAIR Best Paper Prize, the ACM SIGKDD test-of-time award for his work on Auto-WEKA, and numerous medals in international SAT competitions (2003–12). He was the recipient of a 2014 NSERC E.W.R. Steacie Memorial Fellowship, a 2013/14 Killam Teaching Prize, and a 2013 Outstanding Young Computer Science Researcher Prize from the Canadian Association of Computer Science. He was elected an AAAI Fellow and an ACM Distinguished Member in 2018.

Selected publications Shoham, Yoav; Leyton-Brown, Kevin (2009). Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press. p. 496. ISBN 978-0-521-89943-7. Leyton-Brown, Kevin; Shoham, Yoav (2008). Essentials of Game Theory: A Concise, Multidisciplinary Introduction. San Rafael, CA: Morgan & Claypool Publishers. ISBN 978-1-59829-593-1.

References

External links Leyton-Brown's homepage at the University of British Columbia Kevin Leyton-Brown publications indexed by the Scopus bibliographic database. (subscription required)

Illustrations

Worked examples

Example 1 — a first encounter with Kevin Leyton-Brown

Start with the simplest possible case. Write down what Kevin Leyton-Brown 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 Kevin Leyton-Brown 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 Kevin Leyton-Brown 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 Kevin Leyton-Brown

In research: Kevin Leyton-Brown 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 Kevin Leyton-Brown 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: Kevin Leyton-Brown is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1975 births, Academic journal editors, Academic staff of the University of British Columbia, so understanding it makes those chapters shorter.
In everyday life: Look for Kevin Leyton-Brown 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 Kevin Leyton-Brown in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Kevin Leyton-Brown means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Kevin Leyton-Brown out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Kevin Leyton-Brown in simple terms?

Kevin Leyton-Brown (born May 12, 1975) is a Professor of Computer Science at the University of British Columbia. Education He received his Ph.D. at Stanford University in 2003.

Why does Kevin Leyton-Brown 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 Kevin Leyton-Brown?

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 Kevin Leyton-Brown.