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SOLUTIONS & INSTRUCTOR MANUAL for Artificial Intelligence: A Modern Approach, 4th Edition by Peter Norvig and Stuart Russell Updated A+ $21.49   Add to cart

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SOLUTIONS & INSTRUCTOR MANUAL for Artificial Intelligence: A Modern Approach, 4th Edition by Peter Norvig and Stuart Russell Updated A+

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SOLUTIONS & INSTRUCTOR MANUAL for Artificial Intelligence: A Modern Approach, 4th Edition by Peter Norvig and Stuart Russell Updated A+ 1 Introduction ... 1 2 Intelligent Agents ... 36 II Problem-solving 3 Solving Problems by Searching ... 63 4 Search in Complex Environments ... 110 5 Adversarial S...

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  • November 9, 2024
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  • Artificial Intelligence: A Modern Approach
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SOLUTIONS & INSTRUCTOR MANUAL
Artificial Intelligence: A Modern Approach, 4th Edition
by Peter Norvig and Stuart Russell, Chapters 1 – 28

,Artificial Intelligence qm




qmqm qmqm 1 Introduction ...
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qmqm qmqm 2 Intelligent Agents ...
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II Problem-solving
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qmqm qmqm 3 Solving Problems by Searching ...
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qmqm qmqm 4 Search in Complex Environments ...
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qmqm qmqm 5 Adversarial Search and Games ...
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qmqm qmqm 6 Constraint Satisfaction Problems ...
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III Knowledge, reasoning, and planning
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qmqm qmqm 7 Logical Agents ...
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qmqm qmqm 8 First-Order Logic ...
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qmqm qmqm 9 Inference in First-Order Logic ...
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qmqm qmqm 10 Knowledge Representation ...
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qmqm qmqm 11 Automated Planning ...
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IV Uncertain knowledge and reasoning
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qmqm qmqm 12 Quantifying Uncertainty ...
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qmqm qmqm 13 Probabilistic Reasoning ...
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qmqm qmqm 14 Probabilistic Reasoning over Time ...
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qmqm qmqm 15 Probabilistic Programming ...
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qmqm qmqm 16 Making Simple Decisions ...
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qmqm qmqm 17 Making Complex Decisions ...
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qmqm qmqm 18 Multiagent Decision Making ...
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V Machine Learning
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,qmqm qmqm 19 Learning from Examples ...
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qmqm qmqm 20 Learning Probabilistic Models ...
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qmqm qmqm 21 Deep Learning ...
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qmqm qmqm 22 Reinforcement Learning ...
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VI Communicating, perceiving, and acting
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qmqm qmqm 23 Natural Language Processing ...
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qmqm qmqm 24 Deep Learning for Natural Language Processing ...
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qmqm qmqm 25 Computer Vision ...
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qmqm qmqm 26 Robotics ...
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VII Conclusions qm




qmqm qmqm 27 Philosophy, Ethics, and Safety of AI ...
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qmqm qmqm 28 The Future of AI
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, EXERCISES q m q m




1
INTRODUCTION
Note that for many of the questions in this chapter, we give references where answers can be fo
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und 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 qm




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 kn
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owledge” or “the faculty of thought and reason” or “the ability to comprehend and pro
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fit from experience.” These are all reasonable answers, but if we want something qua
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ntifiable we would use something like “the ability to act successfully across a wide rang
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e of objectives in complex environments.”
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b. We define artificial intelligence as the study and construction of agent programs that
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perform well in a given class of environments, for a given agent architecture; they do t
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he right thing. An important part of that is dealing with the uncertainty of what the cu
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rrent state is, what the outcome of possible actions might be, and what is it that we real
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ly desire. qm




c. We define an agent as an entity that takes action in response to percepts from an envi-
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ronment.qm




d. We define rationality as the property of a system which does the “right thing” given
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what it knows. See Section 2.2 for a more complete discussion. The basic concept is
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perfect rationality; Section ?? describes the impossibility of achieving perfect rational-
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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, such t
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hat the new sentences are necessarily true if the old ones are true. (Notice that does not ref
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er to any specific syntax or formal language, but it does require a well-
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defined notion of truth.) qm qm qm




Exercise 1.1.#TURI qm




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

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