Publishing and Editorial Roles Quiz

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Questions and Answers

Who is the Editor-in-Chief of the publication?

Michael Hirsch

Name the individual responsible for marketing management.

Erin Davis

Identify the role of Scott Disanno in the publication.

Senior Managing Editor

What responsibilities does the Copy Editor, Mary Lou Nohr, have?

<p>Editing for grammar and style.</p> Signup and view all the answers

Who assists in the production process as the Vice President?

<p>Vince O’Brien</p> Signup and view all the answers

List the individuals credited as Cover Designers.

<p>Kirsten Sims and Geoffrey Cassar</p> Signup and view all the answers

What is the ISBN-13 of the publication?

<p>978-0-13-604259-4</p> Signup and view all the answers

How many years are noted in the copyright dates?

<p>Three years: 2010, 2003, 1995</p> Signup and view all the answers

What prestigious award did Stuart Russell receive in 1990?

<p>Presidential Young Investigator Award</p> Signup and view all the answers

Where did Peter Norvig complete his Ph.D. in computer science?

<p>University of California at Berkeley</p> Signup and view all the answers

What is one of the key roles Peter Norvig held at NASA Ames Research Center?

<p>Head of the Computational Sciences Division</p> Signup and view all the answers

Which chair does Stuart Russell hold at the University of California at Berkeley?

<p>Smith–Zadeh Chair in Engineering</p> Signup and view all the answers

Name one book written by Stuart Russell apart from the AI-focused works.

<p>The Use of Knowledge in Analogy and Induction</p> Signup and view all the answers

What role did Peter Norvig have in the development of Web search algorithms?

<p>Director responsible for core Web search algorithms</p> Signup and view all the answers

Which award did Peter Norvig receive from NASA?

<p>Exceptional Achievement Medal</p> Signup and view all the answers

What does Stuart Russell serve as director of at the University of California?

<p>Center for Intelligent Systems</p> Signup and view all the answers

Who contributed significantly to the formatting and improvement of diagrams in this edition?

<p>Jon Barron</p> Signup and view all the answers

What type of work did Julie Sussman provide for the authors during the writing process?

<p>Extensive improvements and corrections.</p> Signup and view all the answers

Which group is referred to as RUGS?

<p>Russell’s Unusual Group of Students.</p> Signup and view all the answers

What was the context in which Julie Sussman worked on the chapters?

<p>By lantern light during a power failure.</p> Signup and view all the answers

Who wrote the robotics chapter for the first edition of the book?

<p>John Canny</p> Signup and view all the answers

What essential support did the Pearson team provide during the writing process?

<p>They kept the authors on schedule and offered helpful suggestions.</p> Signup and view all the answers

Who is responsible for writing and maintaining Java code examples on the website?

<p>Ravi Mohan and Ciaran O’Reilly</p> Signup and view all the answers

What dual role did the proofreaders perform in previous editions?

<p>They corrected grammatical errors and identified factual mistakes.</p> Signup and view all the answers

What are the key components of acting under uncertainty as outlined in the document?

<p>The key components include identifying uncertainties, assessing probabilities, and making decisions based on the available information.</p> Signup and view all the answers

Describe the significance of Bayes' Rule in probabilistic reasoning.

<p>Bayes' Rule is significant as it provides a method for updating probabilities based on new evidence, allowing for more accurate predictions.</p> Signup and view all the answers

What are the differences between exact and approximate inference in Bayesian networks?

<p>Exact inference provides precise probabilities and outcomes, while approximate inference uses computational techniques to estimate probabilities when exact solutions are infeasible.</p> Signup and view all the answers

What role do Hidden Markov Models play in probabilistic reasoning over time?

<p>Hidden Markov Models are used to model systems that transition between hidden states over time, aiding in prediction and understanding of temporal data.</p> Signup and view all the answers

Explain how time influences uncertainty in decision-making.

<p>Time influences uncertainty by introducing delays that complicate the prediction of outcomes, requiring continuous updates of beliefs as new information arises.</p> Signup and view all the answers

What is the role of conditional distributions in representing knowledge in an uncertain domain?

<p>Conditional distributions allow the representation of relationships between variables in uncertain domains, enabling the quantification of dependencies.</p> Signup and view all the answers

In the context of decision-making, how can beliefs and desires be combined under uncertainty?

<p>Beliefs and desires can be combined through probabilistic models that evaluate utility and likelihood, guiding decision-making processes.</p> Signup and view all the answers

What insights do dynamic Bayesian networks provide for tracking multiple objects?

<p>Dynamic Bayesian networks facilitate the tracking of multiple objects by modeling their states over time and accounting for uncertainties in their movements.</p> Signup and view all the answers

How did Adam Smith contribute to the field of economics compared to his predecessors?

<p>Adam Smith was the first to treat economics as a science, focusing on individual agents maximizing their economic well-being rather than just monetary transactions.</p> Signup and view all the answers

What is the primary focus of economics according to contemporary economists?

<p>Contemporary economists focus on how people make choices to achieve preferred outcomes, rather than solely on money.</p> Signup and view all the answers

Who were the key figures that formalized the mathematical treatment of utility?

<p>León Walras, Frank Ramsey, John von Neumann, and Oskar Morgenstern played crucial roles in formalizing utility's mathematical treatment.</p> Signup and view all the answers

What does decision theory combine, and why is it important in economics?

<p>Decision theory combines probability theory with utility theory, providing a framework for making decisions under uncertainty.</p> Signup and view all the answers

How does game theory differ from decision theory in the context of economic interactions?

<p>Game theory accounts for scenarios where the actions of one agent significantly affect another's utility, unlike decision theory that assumes independent actions.</p> Signup and view all the answers

What unexpected conclusion did von Neumann and Morgenstern reach about rational agents in some games?

<p>They concluded that rational agents might benefit from adopting randomized policies in certain games.</p> Signup and view all the answers

Why did economists largely overlook decisions involving delayed payoffs from sequential actions?

<p>Economists did not adequately address how to make rational decisions when the effects of actions are not immediate and involve multiple steps.</p> Signup and view all the answers

Describe how the concept of utility is relevant in economic theory.

<p>Utility reflects an individual's preference for certain outcomes, guiding decisions based on maximizing satisfaction or benefit.</p> Signup and view all the answers

What innovative feature did Joseph Marie Jacquard's loom introduce in 1805?

<p>Punched cards to store instructions for weaving patterns.</p> Signup and view all the answers

What was the main purpose of Charles Babbage's Difference Engine?

<p>To compute mathematical tables for engineering and scientific projects.</p> Signup and view all the answers

Who is recognized as the world’s first programmer and what machine did she write programs for?

<p>Ada Lovelace; she wrote programs for the Analytical Engine.</p> Signup and view all the answers

Which computing concepts were derived from work in AI and contributed back to mainstream computer science?

<p>Time sharing, interactive interpreters, and object-oriented programming concepts.</p> Signup and view all the answers

What was the purpose of Turing's efforts with early computers in relation to chess?

<p>To develop one of the first chess programs for AI research.</p> Signup and view all the answers

Who built the first self-controlling machine, and what was its function?

<p>Ktesibios of Alexandria; it was a water clock with a flow regulator.</p> Signup and view all the answers

What distinguishing features did Babbage's Analytical Engine include?

<p>Addressable memory, stored programs, and conditional jumps.</p> Signup and view all the answers

What whimsical creations is Heath Robinson known for in his cartoons?

<p>Absurdly complicated contraptions for simple tasks.</p> Signup and view all the answers

Flashcards

Artificial Intelligence (AI)

A broad field encompassing computer systems designed to perform tasks that typically require human intelligence.

Editor-in-Chief

The top-level editor responsible for overall editorial direction.

Executive Editor

A high-ranking editor, often with significant editorial responsibilities.

Production Editor

Editors responsible for the final stages of a book's production.

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Marketing Manager

Responsible for the strategy and implementation of marketing efforts.

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ISBN

International Standard Book Number; a unique identification number for books.

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Copyright

Legal right granted to the creator or owner of a work.

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Pearson Education, Inc.

A publishing company.

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Stuart Russell's Degree in Physics

He earned a B.A. with first-class honors in physics from Oxford University.

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Stuart Russell's Doctoral Degree

He earned a Ph.D. in computer science from Stanford University.

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Peter Norvig's Current Role

Director of Research at Google, Inc.

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Peter Norvig's Background in Web Search

Directed core web search algorithms from 2002 to 2005.

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Norvig's NASA Role

Held a position in NASA's Computational Sciences Division.

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Russell's University Affiliation

Professor at the University of California, Berkeley.

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Norvig's Background in AI and Robotics

Supervised AI and robotics research in NASA.

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Russell's Scientific Publications

Published over 100 papers in the field of AI.

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Book contributors' roles

Different people took on various tasks in creating and maintaining the book, including writing, formatting, and reviewing.

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Bibliography assistance

Someone (Nick Hay) was responsible for organizing the book's bibliography.

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Diagram formatting and improvements

Jon Barron improved the diagrams in the book edition.

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Code examples maintenance

Ravi Mohan and Ciaran O’Reilly managed and updated the Java examples online.

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Proofreading role (Julie Sussman)

Julie Sussman proofread the book chapters, catching important errors.

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Extensive improvements (Julie Sussman)

Julie Sussman significantly enhanced the book's quality through her meticulous proofreading.

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Research and historical notes

Douglas Edwards did research for the book, including historical context.

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Pearson's support role

Pearson staff (Tracy Dunkelberger, Allison Michael, Scott Disanno, and Jane Bonnell) assisted the book's production.

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Acting under Uncertainty

Making decisions when the outcome is not guaranteed, requiring strategies to handle different possibilities.

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Basic Probability Notation

Using mathematical symbols to represent the likelihood of events, including probabilities of individual events and combinations.

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Full Joint Distribution

A table listing all possible combinations of variables and their probabilities, providing a complete view of uncertainties.

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Inference Using Full Joint Distribution

Calculating the probability of an event based on the relationships and probabilities within the full joint distribution.

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Independence (in probability)

Two events are independent if the occurrence of one doesn't affect the probability of the other.

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Bayes' Rule

A formula for calculating the probability of an event given some evidence, updating our beliefs based on new information.

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The Wumpus World

A classic AI game where an agent navigates a cave, using logic and probabilistic reasoning to find treasure and avoid danger.

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Representing Knowledge in an Uncertain Domain

Methods for capturing knowledge that involves uncertainty, using tools like Bayesian Networks to map relationships and probabilities.

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What is Economics?

Economics is the study of how people make choices to achieve their desired outcomes, often involving resources and their allocation. It's not just about money; it's about how people make decisions in a world of scarcity.

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Utility

Utility signifies the satisfaction or happiness a person derives from consuming a good or service. It's a way to measure preferences and the value someone places on an outcome.

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Decision Theory

Decision theory is a framework for making optimal choices under uncertainty. It combines probability theory with utility theory to help people make informed decisions, even when things are uncertain.

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Game Theory

Game theory analyzes strategic interactions between rational individuals in a competitive environment. It helps understand how people make choices when their outcomes depend on others' actions.

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Rational Agent

A rational agent in economics is someone who makes choices that maximize their own self-interest, given their available information and preferences.

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Large Economy

A large economy is one where individual actions have a negligible impact on the overall market. This is because there are so many agents and their choices don't significantly affect prices or outcomes.

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Small Economy

A small economy is one where individual actions can significantly influence the market. This is because there are fewer actors, and their choices can ripple through the system.

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Randomized Policy

A randomized policy in game theory means that a rational agent might deliberately choose actions randomly to keep their opponents guessing and maximize their chances of success in strategic interactions.

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Jacquard's Loom

The first programmable machine, invented in 1805, which used punched cards to store instructions for weaving patterns.

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Babbage's Difference Engine

A mechanical calculator designed by Charles Babbage in the mid-19th century, intended to compute mathematical tables for engineering and scientific purposes. It was finally built in 1991.

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Babbage's Analytical Engine

A more ambitious machine designed by Charles Babbage, featuring addressable memory, stored programs, and conditional jumps, making it the first artifact capable of universal computation.

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Ada Lovelace

A colleague of Charles Babbage and the daughter of Lord Byron, considered the world's first programmer. She wrote programs for the Analytical Engine and envisioned its potential in tasks like chess and music composition.

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AI's Debt to Software

Artificial intelligence relies on existing software infrastructure, including operating systems, programming languages, and tools, which are essential for developing and running AI programs.

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AI's Contributions to Computer Science

Work in AI has yielded significant contributions to computer science, such as time-sharing, interactive interpreters, personal computers with graphical interfaces, rapid development environments, and key programming concepts.

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Control Theory and Cybernetics

A field exploring how artifacts can self-regulate and operate under their own control, with applications in areas like robotics and automation.

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Ktesibios' Water Clock

An early example of a self-controlling machine invented by Ktesibios of Alexandria, a water clock with a regulator for maintaining a constant flow rate.

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Study Notes

Book Information

  • Editor-in-Chief: Michael Hirsch
  • Executive Editor: Tracy Dunkelberger
  • Assistant Editor: Melinda Haggerty
  • Editorial Assistant: Allison Michael
  • Vice President, Production: Vince O’Brien
  • Senior Managing Editor: Scott Disanno
  • Production Editor: Jane Bonnell
  • Senior Operations Supervisor: Alan Fischer
  • Operations Specialist: Lisa McDowell
  • Marketing Manager: Erin Davis
  • Marketing Assistant: Mack Patterson
  • Cover Designers: Kirsten Sims and Geoffrey Cassar
  • Cover Images: Stan Honda/Getty, Library of Congress, NASA, National Museum of Rome, Peter Norvig, Ian Parker, Shutterstock, Time Life/Getty
  • Interior Designers: Stuart Russell and Peter Norvig
  • Copy Editor: Mary Lou Nohr
  • Art Editor: Greg Dulles
  • Media Editor: Daniel Sandin
  • Media Project Manager: Danielle Leone
  • Copyright: © 2010, 2003, 1995 by Pearson Education, Inc.
  • Publisher location: Upper Saddle River, New Jersey 07458
  • ISBN-13: 978-0-13-604259-4
  • ISBN-10: 0-13-604259-7

Preface

  • Artificial Intelligence (AI) is a major field and the book is comprehensive
  • Nick Hay improved the bibliography and wrote code to enhance the book
  • Jon Barron improved diagrams, Tim Huang, Mark Paskin, and Cynthia Bruyns assisted with diagrams and algorithms in previous editions
  • Ravi Mohan and Ciaran O’Reilly wrote and maintain Java code examples on the website
  • John Canny wrote the robotics chapter for the first edition
  • Douglas Edwards researched historical notes
  • Julie Sussman was instrumental in improving the book
  • Stuart Russell and Peter Norvig were the authors
  • Contributors to the project included Pearson editors and others
  • The authors cite various online sources for research like CiteSeer, Wikipedia, and Google

Authors

  • Stuart Russell (born 1962, Portsmouth, England)

    • B.A. (physics) from Oxford University (1982)
    • Ph.D. (computer science) from Stanford University (1986)
    • Professor of computer science, Director of the Center for Intelligent Systems, Smith–Zadeh Chair in Engineering at the University of California, Berkeley
    • Presidential Young Investigator Award (National Science Foundation) (1990)
    • Co-winner, Computers and Thought Award (1995)
    • Miller Professor, University of California (1996)
    • Chancellor's Professor (2000)
    • Forsythe Memorial Lectures at Stanford University (1998)
    • Fellow and former Executive Council member of the American Association for Artificial Intelligence
    • Published over 100 papers on various AI topics
    • Author of other books: The Use of Knowledge in Analogy and Induction, and Do the Right Thing: Studies in Limited Rationality(with Eric Wefald)
  • Peter Norvig (Current position: Director of Research at Google, Inc.)

    • Director of core Web search algorithms (2002–2005)
    • Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery
    • Computational Sciences Division, NASA Ames Research Center
    • Overseer of NASA's AI and robotics research and development
    • Chief Scientist at Junglee (helped develop internet info extraction services)
    • B.S. (applied mathematics) from Brown University
    • Ph.D. (computer science) from the University of California, Berkeley
    • Distinguished Alumni and Engineering Innovation awards from Berkeley
    • Exceptional Achievement Medal from NASA
    • Professor at the University of Southern California and a research faculty member at Berkeley
    • Author of other books: Paradigms of AI Programming: Case Studies in Common Lisp; Verbmobil: A Translation System for Face-to-Face Dialog; Intelligent Help Systems for UNIX

Early Computing and AI

  • Joseph Marie Jacquard invented a programmable loom (1805) using punched cards
  • Charles Babbage designed the Difference Engine and Analytical Engine (mid-19th century)
    • Analytical Engine was the first universal computer
    • Ada Lovelace, first programmer, wrote programs for the Analytical Engine and speculated on the machine's chess-playing and music-composing abilities
  • Post-World War II, Alan Turing wanted to use computers for AI research (chess programs) but was blocked by the British government.
  • Ktesibios of Alexandria (c. 250 BC) invented the first self-regulating machine (water clock)

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