computer science

Paradigms of AI Programming

Paradigms of AI Programming 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 Paradigms of AI Programming rather than just read about it. In short: Paradigms of AI Programming: Case Studies in Common Lisp (ISBN 1-55860-191-0) is a well-known programming book by Peter Norvig about artificial intelligence programming using Common Lisp. History The Lisp programming language has survived since 1958 as a primary language for artificial intelligence research.

Key takeaways

Paradigms of AI Programming 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 Paradigms of AI Programming to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Paradigms of AI Programming from memory before moving on to harder problems.

Reference excerpt

Paradigms of AI Programming: Case Studies in Common Lisp (ISBN 1-55860-191-0) is a well-known programming book by Peter Norvig about artificial intelligence programming using Common Lisp.

History The Lisp programming language has survived since 1958 as a primary language for artificial intelligence research. This text was published in 1992 as the Common Lisp standard was becoming widely adopted. Norvig introduces Lisp programming in the context of classic AI programs, including General Problem Solver (GPS) from 1959, ELIZA: Dialog with a Machine, from 1966, and STUDENT: Solving Algebra Word Problems, from 1964. The book covers more recent AI programming techniques, including Logic Programming, Object-Oriented Programming, Knowledge Representation, Symbolic Mathematics and Expert Systems.

See also Herbert A. Simon J. C. Shaw Allen Newell Daniel G. Bobrow Joseph Weizenbaum

References

Norvig, Peter. Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp. San Francisco, Calif: Morgan Kaufmann Publishers, 1992.

External links Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp Book Homepage Peter Norvig's Homepage Source Code from Paradigms of Artificial Intelligence Programming Introduction to Artificial Intelligence online class from Stanford

Illustrations

Worked examples

Example 1 — a first encounter with Paradigms of AI Programming

Start with the simplest possible case. Write down what Paradigms of AI Programming 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 Paradigms of AI Programming 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 Paradigms of AI Programming 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 Paradigms of AI Programming

In research: Paradigms of AI Programming 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 Paradigms of AI Programming 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: Paradigms of AI Programming is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1992 non-fiction books, Artificial intelligence stubs, Artificial intelligence textbooks, so understanding it makes those chapters shorter.
In everyday life: Look for Paradigms of AI Programming 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 Paradigms of AI Programming in 20 minutes

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

Frequently asked questions

What is Paradigms of AI Programming in simple terms?

Paradigms of AI Programming: Case Studies in Common Lisp (ISBN 1-55860-191-0) is a well-known programming book by Peter Norvig about artificial intelligence programming using Common Lisp. History The Lisp programming language has survived since 1958 as a primary language for artificial intelligence…

Why does Paradigms of AI Programming 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 Paradigms of AI Programming?

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 Paradigms of AI Programming.