Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
3rd Edition
ISBN: 9780136042594
Author: Stuart Russell, Peter Norvig
Publisher: Prentice Hall
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Chapter 1, Problem 4E

Suppose we extend Evans’s ANALOGY program so that it can score 200 on a standard IQ test. Would we then have a program more intelligent than a human? Explain.

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The algorithms we will discuss are based on a fairly wide variety of fundamental learning techniques such as information theory, gradient descent, euclidean distance, Bayes’ theorem, and a number of other techniques.Which of those do you suppose is used by the following algorithms:
Construct a Turing machine  that takes strings over the alphabet {a,b} on the tape, and moves the whole string over to the right one cell position. When you're done, the tape should essentially look the same (since it's infinite on both ends…) but you will know (and people who look at your code will know) that in fact you moved the string over by one space to the right. After moving the string over, the turing machine should move to the left-most cell in the string and than go to the HALT state.
What does the pseudocode for this algorithm in the image attached mean in plain English? (Algorithm 2 — the image attached came from a Computer Science whitepaper with keywords: [Exact] Dynamic Programming, Optimal Decision Trees, Reinforcement Learning, Artificial Intelligence, Interpretability). Please explain with either Python Java code if possible (or any programming language). Also, where can I find a reference that explains all the notation used in this pseudocode found in the image? I see this type of notation frequently but can’t find a key or a reference that explains what type of symbols these all are (except for a few of them which I know to be math symbols). Much of this notation I can’t find a reference to explain what it means anywhere, please advise and thanks in advance.
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