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Solutions & Instructor Manual – Artificial Intelligence: A Modern Approach, 4th Edition | Stuart Russell & Peter Norvig | Chapters 1–28 Complete

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Solutions & Instructor Manual – Artificial Intelligence: A Modern Approach, 4th Edition | Stuart Russell & Peter Norvig | Chapters 1–28 Complete

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A Modern Approach
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A Modern Approach











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Instructor’s Solution Manual
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Artificial Intelligence bn




A Modern
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© 2023 Pearson Education, Hoboken, NJ. All rights reserved.

, Approach
Fourth Edition bn




Stuart J. Russell and Peter Norvig
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with contributions from
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Nalin Chhibber, Ernest Davis, Nicholas J. Hay, Jared Moore, Alex Rudnick,
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Mehran Sahami, Xiaocheng Mesut Yang, and Albert Yu
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This solution manual is intended for the instructor of a class. Students should use the
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online site for exercises at aimacode.github.io/aima-exercises. That
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site is open for anyone to use. It offers solutions for some but not all of the exercises;
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an instructor can check there to see which ones have solutions. The exercises are
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online rather than in the textbook itself because (a) the textbook is long enough as
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is, and (b) we wanted to be able to update the exercises frequently.
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Copyright © 2022 bn bn




© 2023 Pearson Education, Hoboken, NJ. All rights reserved.

,EXERCISES b n b n

1
INTRODUCTION
Note that for many of the questions in this chapter, we give references where answers
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can be found rather than writing them out—the full answers would be far too long.
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1.1 b n What Is AI? bn bn




Exercise 1.1.#DEFA
Define in your own words: (a) intelligence, (b) artificial intelligence, (c) agent, (d) ra-
tionality, (e) logical reasoning.


a. Dictionary definitions of intelligence talk about “the capacity to acquire and
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apply knowledge” or “the faculty of thought and reason” or “the ability to
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comprehend and profit from experience.” These are all reasonable answers,
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but if we want something quantifiable we would use something like “the ability
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to act successfully across a wide range of objectives in complex environments.”
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b. We define artificial intelligence as the study and construction of agent
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programs that perform well in a given class of environments, for a given agent
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architecture; they do the right thing. An important part of that is dealing with
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the uncertainty of what the current state is, what the outcome of possible
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actions might be, and what is it that we really desire.
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c. We define an agent as an entity that takes action in response to percepts from
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an envi- ronment.
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d. We define rationality as the property of a system which does the “right thing”
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given what it knows. See Section 2.2 for a more complete discussion. The
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basic concept is perfect rationality; Section ?? describes the impossibility of
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achieving perfect rational- ity and proposes an alternative definition.
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e. We define logical reasoning as the a process of deriving new sentences from old,
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such that the new sentences are necessarily true if the old ones are true. (Notice
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that does not refer to any specific syntax or formal language, but it does require a
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well-defined notion of truth.)
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Exercise 1.1.#TURI
Read Turing’s original paper on AI (Turing, 1950). In the paper, he discusses several
objections to his proposed enterprise and his test for intelligence. Which objections still carry


© 2023 Pearson Education, Hoboken, NJ. All rights reserved.

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