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The Age of Intelligent Machines

The Age of Intelligent Machines 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 The Age of Intelligent Machines rather than just read about it. In short: The Age of Intelligent Machines is a non-fiction book about artificial intelligence by inventor and futurist Ray Kurzweil. This was his first book and the Association of American Publishers named it the Most Outstanding Computer Science Book of 1990.

The Age of Intelligent Machines — main illustration
The Age of Intelligent Machines — illustration

Key takeaways

  • The Age of Intelligent Machines 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 The Age of Intelligent Machines to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of The Age of Intelligent Machines from memory before moving on to harder problems.

Reference excerpt

The Age of Intelligent Machines is a non-fiction book about artificial intelligence by inventor and futurist Ray Kurzweil. This was his first book and the Association of American Publishers named it the Most Outstanding Computer Science Book of 1990. It was reviewed in The New York Times and The Christian Science Monitor. The format is a combination of monograph and anthology with contributed essays by artificial intelligence experts such as Daniel Dennett, Douglas Hofstadter, and Marvin Minsky. Kurzweil surveys the philosophical, mathematical and technological roots of artificial intelligence, starting with the assumption that a sufficiently advanced computer program could exhibit human-level intelligence. Kurzweil argues the creation of humans through evolution suggests that humans should be able to build something more intelligent than themselves. He believes pattern recognition, as demonstrated by vision, and knowledge representation, as seen in language, are two key components of intelligence. Kurzweil details how quickly computers are advancing in each domain. Driven by the exponential improvements in computer power, Kurzweil believes artificial intelligence will be possible and then commonplace. He explains how it will impact all areas of people's lives, including work, education, medicine, and warfare. As computers acquire human level faculties Kurzweil says people will be challenged to figure out what it really means to be human.

Background Ray Kurzweil is an inventor and serial entrepreneur. In 1990 when this book was published he had already started three companies: Kurzweil Computer Products, Kurzweil Music Systems, and Kurzweil Applied Intelligence. The companies developed and sold reading machines for the blind, music synthesizers, and speech recognition software respectively. Optical character recognition, which he used in the reading machine, and speech recognition are both featured centrally in the book as examples of pattern recognition problems. After the publication of The Age of Intelligent Machines he expanded on its ideas with two follow-on books: The Age of Spiritual Machines and the best selling The Singularity is Near.

Content

Definition and history

Kurzweil starts by trying to define artificial intelligence. He leans towards Marvin Minsky's "moving frontier" formulation: "the study of computer problems which have not yet been solved". Then he struggles with defining intelligence itself and concludes "there appears to be no simple definition of intelligence that is satisfactory to most observers". That leads to a discussion about whether evolution, the process, could be considered intelligent. Kurzweil concludes that evolution is intelligent, but with an IQ only "infinitesimally greater than zero". He penalizes evolution for the extremely long time it takes to create its designs. The human brain operates much more quickly, evidenced by the rate of progress in the last few thousand years, so the brain is more intelligent than its creator. Kurzweil concludes from this that there is no theoretical reason why the human brain cannot create something more intelligent than itself, and suggests "a sufficient number of decades or centuries into the future" humans will in fact be surpassed by their creations. The field of artificial intelligence presupposes that the human brain is a machine, and that an alternative implementation could be built, as a computer program, which would have the same faculties as the real thing. Kurzweil traces the philosophical underpinnings of this tenet, as well as the opposing view that properties such as consciousness and free will are unique to the human mind. Kurzweil starts with Plato and touches quickly on Descartes, Newton, Kant, Wittgenstein and ends with Hubert Dreyfus. Kurzweil also presents the mathematical roots of artificial intelligence including contributions by Bertrand Russell, Alan Turing, Alonzo Church, and Kurt Gödel. The Turing test is introduced as a way to gauge whether the field of artificial intelligence has succeeded or not.

Chess and pattern recognition

Kurzweil discusses how computers play chess in detail, building to his prediction that "we will see a [computer] world champion by the year 2000". The Chinese strategy game of go, however, has proven much more difficult for computers to play well. He considers go to be a "level 3" problem, the type of problem where there is no single unifying formula which solves it. Then Kurzweil reveals that pattern recognition, which is crucial to artificial intelligence, is also a level 3 problem. Kurzweil traces various ways of doing pattern recognition, from the rise and fall of perceptrons to random neural nets and decision trees, finally explaining that intelligence is a hierarchy of heterogeneous processes "communicating and influencing each other". He believes Marvin Minsky's Society of Mind and Jerome Lettvin's society of neurons are useful models. Kurzweil differentiates logical thinking from pattern recognition, and explains that AI has had much more trouble with pattern recognition, exemplified by efforts to create artificial vision. Kurzweil estimates that the human vision system does the equivalent of 100 trillion multiplications per second where "a typical personal computer" of the day could only do 100,000 multiplications per second. The way out of this dilemma is parallel processing, having millions or billions of simultaneous processes all computing at the same time, something Kurzweil felt would happen in the future. Kurzweil also discusses speech recognition, which like vision requires complex pattern recognition.

Knowledge and art

… excerpt ends here. Continue reading the full article.

Illustrations

The Age of Intelligent Machines: Kurzweil believes evolution proves humans can create a technology more intelligent than themselves.
Kurzweil believes evolution proves humans can create a technology more intelligent than themselves.
The Age of Intelligent Machines: It is much harder to program computers to play the Chinese game of go than it is chess.
It is much harder to program computers to play the Chinese game of go than it is chess.
The Age of Intelligent Machines: Kurzweil believes computers will pass the Turing test this century.
Kurzweil believes computers will pass the Turing test this century.

Worked examples

Example 1 — a first encounter with The Age of Intelligent Machines

Start with the simplest possible case. Write down what The Age of Intelligent Machines 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 The Age of Intelligent Machines 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 The Age of Intelligent Machines 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 The Age of Intelligent Machines

In research
The Age of Intelligent Machines 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 The Age of Intelligent Machines 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
The Age of Intelligent Machines is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1990 non-fiction books, Books about cognition, Books by Ray Kurzweil, so understanding it makes those chapters shorter.
In everyday life
Look for The Age of Intelligent Machines 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 The Age of Intelligent Machines in 20 minutes

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

Frequently asked questions

What is The Age of Intelligent Machines in simple terms?

The Age of Intelligent Machines is a non-fiction book about artificial intelligence by inventor and futurist Ray Kurzweil. This was his first book and the Association of American Publishers named it the Most Outstanding Computer Science Book of 1990.

Why does The Age of Intelligent Machines 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 The Age of Intelligent Machines?

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 The Age of Intelligent Machines.

Tags

  • 1990 non-fiction books
  • Books about cognition
  • Books by Ray Kurzweil
  • Computer books
  • Futurology books
  • MIT Press books
  • Non-fiction books about artificial intelligence
  • Technology books
  • Transhumanist books

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