SOLUTION MANUAL FOR Artificial Intelligence: A Modern Approach 4th Edition by Stuart Russell, Peter Norvig ISBN: 978-0134610993 COMPLETE GUIDE ALL CHAPTERS COVERED 100% VERIFIED A+ GRADE ASSURED!!!!NEW LATEST UPDATE!!!!!

© 2023 Pearson Education, Hoboken, NJ. All rights reser
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ved.

, Instructor’s Solution Manual ma ma




Artificial Intelligence ma ma




A Modern Approach ma ma




Fourth Edition ma




Stuart J. Russell and Peter Norvig ma ma ma ma ma




with contributions from
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Nalin Chhibber, Ernest Davis, Nicholas J. Hay, Jared Moore, Alex Rudnick, Mehr
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an 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 onli
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ne site for exercises at aimacode.github.io/aima-
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exercises. That site is open for anyone to use. It offers solutions for some but not all o
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f the exercises; an instructor can check there to see which ones have solutions. The exerci
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ses are online rather than in the textbook itself because (a) the textbook is long enough a
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s is, and (b) we wanted to be able to update the exercises frequently.
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Copyright © 2022 ma ma




© 2023 Pearson Education, Hoboken, NJ. All rights reser
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ved.

,EXERCISES m a ma


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



Define in your own words: (a) intelligence, (b) artificial intelligence, (c) agent, (d) ra-
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tionality, (e) logical reasoning.
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a. Dictionary definitions of intelligence talk about “the capacity to acquire and apply
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knowledge” or “the faculty of thought and reason” or “the ability to comprehend a
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nd profit from experience.” These are all reasonable answers, but if we want some
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thing quantifiable we would use something like “the ability to act successfully across
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a wide range of objectives in complex environments.”
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b. We define artificial intelligence as the study and construction of agent programs t
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hat perform well in a given class of environments, for a given agent architecture; t
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hey do the right thing. An important part of that is dealing with the uncertainty of
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what the current state is, what the outcome of possible actions might be, and what
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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 an en
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vi- ronment. ma



d. We define rationality as the property of a system which does the “right thing” giv
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en what it knows. See Section 2.2 for a more complete discussion. The basic con
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cept is perfect rationality; Section ?? describes the impossibility of achieving perfect
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rational- ity and proposes an alternative definition.ma ma ma ma ma ma



e. We define logical reasoning as the a process of deriving new sentences from old, su
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ch that the new sentences are necessarily true if the old ones are true. (Notice that doe
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s not refer to any specific syntax or formal language, but it does require a well-
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defined notion of truth.) ma ma ma




Exercise 1.1.#TURI ma



Read Turing’s original paper on AI (Turing, 1950). In the paper, he discusses several o
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bjections to his proposed enterprise and his test for intelligence. Which objections still carry
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© 2023 Pearson Education, Hoboken, NJ. All rights reser
ma ma ma ma ma ma ma ma


ved.

,