computer science

Oliver Selfridge

Oliver Selfridge is a computer science 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 Oliver Selfridge rather than just read about it. In short: Oliver Gordon Selfridge (10 May 1926 – 3 December 2008) was a British-American mathematician and computer scientist who pioneered the early foundations of modern artificial intelligence. He is mostly known for his 1959 paper, Pandemonium: A Paradigm For Learning describing what's now known as the Pandemonium Architecture.

Key takeaways

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

Reference excerpt

Oliver Gordon Selfridge (10 May 1926 – 3 December 2008) was a British-American mathematician and computer scientist who pioneered the early foundations of modern artificial intelligence. He is mostly known for his 1959 paper, Pandemonium: A Paradigm For Learning describing what's now known as the Pandemonium Architecture. He has been called the "Father of Machine Perception."

Early life and education Selfridge, born in England, was a grandson of Harry Gordon Selfridge, the founder of Selfridges department stores. His father was Harry Gordon Selfridge Jr. and his mother was a clerk at Selfridge's store. He was educated at Malvern College, and, upon moving to the US, at Middlesex School in Concord, Massachusetts, before earning an S.B. from MIT in mathematics in 1945. He then became a graduate student of Norbert Wiener at MIT, but did not write up his doctoral research and never earned a Ph.D.

Career Marvin Minsky considered Selfridge to be one of his mentors, and Selfridge was one of the 11 attendees, with Minsky, of the Dartmouth workshop that is considered the founding event of artificial intelligence as a field. Selfridge wrote important early papers on neural networks, pattern recognition, and machine learning, and his "Pandemonium" paper, published in 1959, is generally recognized as a classic in artificial intelligence. In it, Selfridge introduced the notion of "demons" that record events as they occur, recognize patterns in those events, and may trigger subsequent events according to patterns they recognize. Over time, this idea gave rise to aspect-oriented programming. In 1968, in their formative paper "The Computer as a Communication Device", J. C. R. Licklider and Robert Taylor introduced a concept known as an OLIVER (On-Line Interactive Vicarious Expediter and Responder), which was named in honor of Selfridge. Selfridge spent his career at Lincoln Laboratory, MIT (where he was Associate Director of Project MAC), Bolt, Beranek and Newman, and GTE Laboratories where he became Chief Scientist. He served on the NSA Advisory Board for 20 years, chairing the Data Processing Panel. In 1991 he was elected a Fellow of the Association for the Advancement of Artificial Intelligence. Selfridge retired in 1993. In 2015, Duncan Campbell identified Selfridge as his "best source" for Campbell's 1980 reporting on US National Security Agency wiretapping activity at RAF Menwith Hill in England. Campbell described this operation in New Statesman as a "billion dollar phone tap". Selfridge also authored four children's books: Sticks, Fingers Come In Fives, All About Mud, and Trouble With Dragons.

Personal life Selfridge was married and divorced twice and is survived by two daughters and two sons.

Illustrations

Worked examples

Example 1 — a first encounter with Oliver Selfridge

Start with the simplest possible case. Write down what Oliver Selfridge claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, 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 Oliver Selfridge 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 Oliver Selfridge 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 Oliver Selfridge

In research: Oliver Selfridge appears in computer science 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 Oliver Selfridge 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: Oliver Selfridge is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1926 births, 2008 deaths, British artificial intelligence researchers, so understanding it makes those chapters shorter.
In everyday life: Look for Oliver Selfridge 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 Oliver Selfridge in 20 minutes

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

Frequently asked questions

What is Oliver Selfridge in simple terms?

Why does Oliver Selfridge matter?

Because it connects several computer science 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 Oliver Selfridge?

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 Oliver Selfridge.