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Leonard Uhr

Leonard Uhr 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 Leonard Uhr rather than just read about it. In short: Leonard Uhr (1927 – October 5, 2000) was an American computer scientist and a pioneer in computer vision, pattern recognition, machine learning and cognitive science. He was an expert in many aspects of human neurophysiology and perception, and a central theme of his research was to design artificial intelligence systems based on his understanding of how the human brain works.

Key takeaways

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

Reference excerpt

Leonard Uhr (1927 – October 5, 2000) was an American computer scientist and a pioneer in computer vision, pattern recognition, machine learning and cognitive science. He was an expert in many aspects of human neurophysiology and perception, and a central theme of his research was to design artificial intelligence systems based on his understanding of how the human brain works. He was one of the early proponents of incorporation into artificial intelligence algorithms of methods for dealing with uncertainty. Uhr published eight books (as author and/or editor) and nearly 150 journal and conference papers. His seminal work was an article written in 1963 with Charles Vossler, "A Pattern Recognition Program That Generates, Evaluates, and Adjusts Its Own Operators", reprinted in Computers and Thought — edited by Edward Feigenbaum and J. Feldman — which showcases the work of the scientists who defined the field of artificial intelligence. He was a Ph.D. major professor for 20 students, many of whom have gone on to become in their own right important contributors to artificial intelligence. Uhr graduated from Princeton University in 1949 with a B.A. in psychology. He received master's degrees in philosophy from the University of Brussels and Johns Hopkins University in 1951 before obtaining his Ph.D. in psychology in 1957 from the University of Michigan. As a child, Uhr attended Oak Lane Country Day School outside Philadelphia. Uhr was a professor of computer science and of neuroscience at the University of Wisconsin–Madison. Prior to that, he was also on the faculty of psychology at the University of Michigan.

Major works Vasant Honavar and Leonard Uhr. (Ed.) Artificial Intelligence and Neural Networks: Steps Toward Principled Integration. New York: Academic Press. 1994. ISBN 0-12-355055-6 Leonard Uhr. Multi-Computer Architectures for Artificial Intelligence: Toward Fast, Robust, Parallel Systems. New York: Wiley. 1987. ISBN 0-471-84979-0 Leonard Uhr (Ed.) Parallel Computer Vision. Boston: Academic Press. 1987. ISBN 0-12-706958-5 Leonard Uhr. Algorithm Structured Computer Arrays and Networks: Architectures for Images, Percepts, Models, Information. Boston: Academic Press. 1984. ISBN 0-12-706960-7 Leonard Uhr. Pattern Recognition, Learning, and Thought. Englewood Cliffs: Prentice-Hall. 1973. ISBN 0-13-654095-3 Leonard Uhr (Ed.) Pattern Recognition. New York: Wiley. 1966. ISBN 0-471-89600-4 Leonard Uhr and James Miller (Ed.) Drugs and Behavior. New York: Wiley. 1960. ISBN 0-471-89595-4 John C. Pollard, Leonard Uhr, Elizabeth Stern. Drugs and Phantasy Boston: Little Brown and Company. 1965

External links Unofficial home page Leonard Uhr at the Mathematics Genealogy Project Obituary in the Wisconsin State Journal

References

Worked examples

Example 1 — a first encounter with Leonard Uhr

Start with the simplest possible case. Write down what Leonard Uhr 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 Leonard Uhr 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 Leonard Uhr 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 Leonard Uhr

In research
Leonard Uhr 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 Leonard Uhr 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
Leonard Uhr is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1927 births, 2000 deaths, 20th-century American scientists, so understanding it makes those chapters shorter.
In everyday life
Look for Leonard Uhr 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 Leonard Uhr in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Leonard Uhr 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 Leonard Uhr out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Leonard Uhr in simple terms?

Leonard Uhr (1927 – October 5, 2000) was an American computer scientist and a pioneer in computer vision, pattern recognition, machine learning and cognitive science. He was an expert in many aspects of human neurophysiology and perception, and a central theme of his research was to design artifici…

Why does Leonard Uhr 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 Leonard Uhr?

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 Leonard Uhr.

Tags

  • 1927 births
  • 2000 deaths
  • 20th-century American scientists
  • American academic journal editors
  • American artificial intelligence researchers
  • American cognitive scientists
  • American computer scientists
  • Johns Hopkins University alumni
  • Princeton University alumni
  • University of Michigan alumni
  • University of Michigan faculty
  • University of Wisconsin–Madison faculty

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