Artificial Intelligence: A Modern Approach, Global Edition
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- Create Date：2021-10-12 07:52:31
- Update Date：2025-09-06
- Status：finish
- Author：Stuart Russell
- ISBN：1292153962
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Summary
For one or two-semester， undergraduate or graduate-level courses in Artificial Intelligence。 The long-anticipated revision of this best-selling text offers the most comprehensive， up-to-date introduction to the theory and practice of artificial intelligence。 *NEW-Nontechnical learning material-Accompanies each part of the book。 *NEW-The Internet as a sample application for intelligent systems-Added in several places including logical agents， planning， and natural language。 *NEW-Increased coverage of material - Includes expanded coverage of: default reasoning and truth maintenance systems， including multi-agent/distributed AI and game theory; probabilistic approaches to learning including EM; more detailed descriptions of probabilistic inference algorithms。 *NEW-Updated and expanded exercises-75% of the exercises are revised， with 100 new exercises。 *NEW-On-line Java software。 *Makes it easy for students to do projects on the web using intelligent agents。 *A unified， agent-based approach to AI-Organizes the material around the task of building intelligent agents。 *Comprehensive， up-to-date coverage-Includes a unified view of the field organized around the rational decision making pa
Reviews
Bill de hÓra
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The best edition of this classic， by some distance。
Kurt Foster
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Although this text recommends the reader starts this as a beginning junior in a Computer Science program， I thought I would take a stab。 This one is a jaw dropper。 Of all the books on Artificial Intelligence I have looked through， approximately 6， this one is by far the best。 For the price， not many books in general cover as much about computational power， algorithms， human psychology， fulfilling tasks to the best of a computer's ability， and most of all - it’s an impressive text on human though Although this text recommends the reader starts this as a beginning junior in a Computer Science program， I thought I would take a stab。 This one is a jaw dropper。 Of all the books on Artificial Intelligence I have looked through， approximately 6， this one is by far the best。 For the price， not many books in general cover as much about computational power， algorithms， human psychology， fulfilling tasks to the best of a computer's ability， and most of all - it’s an impressive text on human thought and rationality。 The bible of A。I。 This is such a great book。 To read this is quite possibly the most comprehensive study on rational thought and action。 。。。more
Olimar Ramilo
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This is a chonky book to get through， lots of content。 The book dicusses the detailed theoretical concepts of Artificial Intelligence and Machine Learning。 It's a great way to know what you're getting into if you want to pursue AI/ML。 This is a chonky book to get through， lots of content。 The book dicusses the detailed theoretical concepts of Artificial Intelligence and Machine Learning。 It's a great way to know what you're getting into if you want to pursue AI/ML。 。。。more
Pierpont Lemkin
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This is a great book for anyone who wants to learn about AI - the only reason I gave it four stars instead of five is because Drs Russell and Norvig gloss over the question of conscious AI in favour of sticking to algorithmic AI - nonetheless well written and informative
Manny
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This book is actually two books， one in computer science and another in statistics， incoherently combined。 It does not give a profound view of AI。 It touches it shyly in the first chapter with a lot of hesitant， unassertive statements。 It is used widely as a textbook but no longer due to its current size。 It is too big and talks about almost every scientific subject， which indicates its deviation and lack of focus on the main subject。I was relying on this book quite heavily until I shifted to th This book is actually two books， one in computer science and another in statistics， incoherently combined。 It does not give a profound view of AI。 It touches it shyly in the first chapter with a lot of hesitant， unassertive statements。 It is used widely as a textbook but no longer due to its current size。 It is too big and talks about almost every scientific subject， which indicates its deviation and lack of focus on the main subject。I was relying on this book quite heavily until I shifted to the works of the founding fathers of AI （i。e。， McCarthy， Minsky， Simon， Solomonoff， etc。）， in addition to the recent advances in deep learning and Artificial Neural Networks。 Until then， I realized how misleading and cumbersome this book was。 The poor presentation of Neural Networks is demonstrative of the encountered slippage in this book to AI。 。。。more
Poonam Saini
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Really liked the book。 This book helps develop strong foundation in AI era。
Attila
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Artificial Intelligence: A Modern ApproachThis book therefore concentrates on general principles of rational agents and on components for constructing themintelligent agent takes a rational action， the best possible action in a situationa collection of simple cells can lead to thought， action， and consciousnessan agent’s action depends on its past experience and its observation of the current environmentBefore an agent can start searching for solutions， a goal must be identified， and a well-defi Artificial Intelligence: A Modern ApproachThis book therefore concentrates on general principles of rational agents and on components for constructing themintelligent agent takes a rational action， the best possible action in a situationa collection of simple cells can lead to thought， action， and consciousnessan agent’s action depends on its past experience and its observation of the current environmentBefore an agent can start searching for solutions， a goal must be identified， and a well-defined problem must be formulated AI-s are very powerful today because they have large datasetsAIs were able to beat humans in gamesUsually， it is not feasible to consider the whole game tree， so we need to cut the search off at some point and apply an evaluation function that estimates the utility of a statehumans still have an edge in games with incomplete information like pokerIntelligent agents need knowledge about the world in order to reach good decisions。 Knowledge is contained in agents in the form of sentences in a knowledge representation language that are stored in a knowledge base。Knowledge representation languages should be declarative， compositional， expressive， context independent， and unambiguousmany actions in the real world uses resources， its important to count with them when planning a solutionprobability theory helps us when we have to act uncertainlySometimes， solving a problem involves finding more information before making a decision。 The value of information is defined as the expected improvement in utility compared with making a decision without the informationLearning can be different based on the nature of the agent and the available feedbackif the available feedback provided the correct answer for an example input， its called supervised learningclassification is when you want to predict a labelregression is about predicting a quantitycumulative learning， in which learning agents improve their learning ability as they acquire more knowledgeTogether， machine translation （translate text or speech from one language to another） and speech recognition are two of the big successes of natural language technology。 One reason that the models perform well is that large corpora are available—both translation and speech are tasks that are performed “in the wild” by people every day。 In contrast， tasks like parsing sentences have been less successful， in part because no large corpora of parsed sentences are available “in the wild” and in part because parsing is not useful in and of itself。perception is a very easy task for us， but difficult for machinesRobots are intelligent agents that have sensors to perceive the world and effectors so they can modify the environmentthe difficulty is with object recognition and mapping the environment and locating yourselfPhilosophers use the term weak AI for the hypothesis that machines could possibly behave intelligently， and strong AI for the hypothesis that such machines would count as having actual mindit concludes that AI will massively change the life of humanity， for better or worse is the questionWe can see only a short distance ahead，but we can see that much remains to be done。 Alan Turing 。。。more
Christina
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Finally finished this one。 so many topics and very informative as you expand your knowledge on AI。 Really enjoyed this one。 the chapters were just enough description and overall will be a great resource for refreshing in the future。
JJ Khodadadi
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کتاب کمی گنگ و قدیمی هست و معمولا کتب جدید هوش مصنوعی هم درک بهتری به موضوع میدن و هم میدان معرفی بزرگتر و سادگی بالاتری را شامل می شوند。در این کتاب بیشتر به حل مسائلی چون مسیریابی و الگوریتم های اینچنینی پرداخته شده
Jonathan
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This is the old testament of the AI bible （the new testament would consist of （among others） Sutton & Barto's Reinforcement Learning and Goodfellow's Deep Learning）。 Despite primarily outlining a paradigm often referred to as GOFAI （Good Old-Fashioned AI）， this book is unmatched as a foundation for the field。 Artificial Intelligence might have been born at the Dartmouth workshop， but Russel & Norvig's tome provides a united overview and a terminology that is more relevant now than ever。I have ye This is the old testament of the AI bible （the new testament would consist of （among others） Sutton & Barto's Reinforcement Learning and Goodfellow's Deep Learning）。 Despite primarily outlining a paradigm often referred to as GOFAI （Good Old-Fashioned AI）， this book is unmatched as a foundation for the field。 Artificial Intelligence might have been born at the Dartmouth workshop， but Russel & Norvig's tome provides a united overview and a terminology that is more relevant now than ever。I have yet to meet an AI researcher who doesn't proudly own a copy of AIMA。 。。。more
Parham Hasani
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The first step into AI World。。。great book。 but I recommend the 4th edition。 the new edition is totally different;）
Michael Driscoll
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I had to read this as part of my Artificial Intelligence course in Georgia Tech's Online Master's in Computer Science program， and as an AI textbook it was excellent。 It provides detailed， and easy to follow， algorithms ranging from minimax and alpha-beta to Bayes Nets， Hidden Markov Models， A*， Neural Nets， and plenty more。 I did not read every page of this book， but I can attest that I would not have done nearly as well in my course without it and if I need to look up an AI algo， I'll turn her I had to read this as part of my Artificial Intelligence course in Georgia Tech's Online Master's in Computer Science program， and as an AI textbook it was excellent。 It provides detailed， and easy to follow， algorithms ranging from minimax and alpha-beta to Bayes Nets， Hidden Markov Models， A*， Neural Nets， and plenty more。 I did not read every page of this book， but I can attest that I would not have done nearly as well in my course without it and if I need to look up an AI algo， I'll turn here first to read what Russell and Norvig have to say first and then check other resources。 。。。more
Anjar Priandoyo
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I did not finish this text book， but in the early chapter I get some interesting idea。The latest AI study based on general principles of rational agents， where the concept are:- goal formulation: based on the current situation and the agent’s performance measure- problem formulation: process of deciding what actions and states to consider， given a goal- search: process of looking for a sequence of actions that reaches the goalThe agent can be:Problem solving Agents （Part II， Search）Logical Agent I did not finish this text book， but in the early chapter I get some interesting idea。The latest AI study based on general principles of rational agents， where the concept are:- goal formulation: based on the current situation and the agent’s performance measure- problem formulation: process of deciding what actions and states to consider， given a goal- search: process of looking for a sequence of actions that reaches the goalThe agent can be:Problem solving Agents （Part II， Search）Logical Agents （Part III: Knowledge， Reasoning and Planning） How Agent react with Uncertainty （Part IV: Uncertain， knowledge and reasoning）Learning Agents （Part V: Learning）Part VI: Communicating， Perceiving and Action （NLP， Perception， Robotics）Implementation part of acting humanlyA search algorithm takes a problem as input and returns a solution in the form of an actionsequence。 Once a solution is found， the actions it recommends can be carried out。 Thisis called the execution phase*It is also interesting with the definition of AIFour Approach of AI:Thinking: Thought Process and ReasoningActing: BehaviorHumanly: Measure success in terms of fidelity to human performanceRationality: Measure against an ideal performance measureActing Humanly: NLP， Knowledge Representation， Automated Reasoning， Machine Learning， Computer Vision， Robotics。Acting Rationality: AI is study of the design of intelligent agents （combination of mathematics and engineering）Thinking Humanly: Cognitive ModelThinking Rationally: Law of Thought Approach （Expert System Approach） 。。。more
Ricardo Inacio Alvares e Silva
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It is indeed a great book， both didactic， precise， well paced and with a good bottom-up structure。
Erfan Abedi
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Considering my previous knowledge of Artificial Intelligence， this book was shite。Constant repetition of previously learnt algorithms and those hideous chapters on logic made me want to puke。 The humor was good and the writer came off as friendly， but Jesus was this a waste of time。
sarah chang
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Very good introductory book for AI。
Anne
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Read this book for my Premaster studies。It may be hard to understand some concepts from just reading the book， but in combination with other course material and videos I managed to get a good grasp of most concepts。 A good overall impression about AI！
Usama ahmed khan
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The book touches a large number of topics in the area of artificial intelligence 。 For introduction in the field it is fine， but I don't like too much formalization and focus on just classical search based AI ， and current techniques are way in the back with very introductory chapters。 I do not know how it should be done but there should be a combination of current and old。 The book touches a large number of topics in the area of artificial intelligence 。 For introduction in the field it is fine， but I don't like too much formalization and focus on just classical search based AI ， and current techniques are way in the back with very introductory chapters。 I do not know how it should be done but there should be a combination of current and old。 。。。more
Samuel Situmeang
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This is indeed one of the best books on Artificial Intelligence （AI）。
Warren Green
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Mind-blowing text diving deep into topics with extremely clear explanations。 Straddles the line better than any other textbook I think I've ever read。 Check out my implementations here: https://github。com/WarrenGreen/AI-Norvig Mind-blowing text diving deep into topics with extremely clear explanations。 Straddles the line better than any other textbook I think I've ever read。 Check out my implementations here: https://github。com/WarrenGreen/AI-Norvig 。。。more
Brian Mikołajczyk
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The go-to textbook for intro to AI。 A fantastic book。One qualm I have is that everything is in pseudocode。 It would've been useful to have an appendix in Python or Java for the algorithms。 The go-to textbook for intro to AI。 A fantastic book。One qualm I have is that everything is in pseudocode。 It would've been useful to have an appendix in Python or Java for the algorithms。 。。。more
Michael Corley
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I don't think I am ever going to finish this book。 It the enormous ultimate reference for all things artificial intelligence。 I added it to my secret reference library。 I don't think I am ever going to finish this book。 It the enormous ultimate reference for all things artificial intelligence。 I added it to my secret reference library。 。。。more
Ifor Williams
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Definitive
John Doe
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Old Fashioned Chronologicale DictionaryI use it as introduction or table of contents to get a taste of how each sub field of AI inter related to each other After I finished machine learning study。 But to really dive into each of the subject matter of each chapter， you will need to go find more specific books or papers to dig into the details。 Overall its a great intro to this field。 Just don't count on reading this book alone can somehow make you an AI specialist。 No single book can do that for Old Fashioned Chronologicale DictionaryI use it as introduction or table of contents to get a taste of how each sub field of AI inter related to each other After I finished machine learning study。 But to really dive into each of the subject matter of each chapter， you will need to go find more specific books or papers to dig into the details。 Overall its a great intro to this field。 Just don't count on reading this book alone can somehow make you an AI specialist。 No single book can do that for you。 。。。more
Sara
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Absolutely stunning。 I managed to learn the basics of artificial intelligence using this book。 You don't have to know much before studying this book。 All you need to get by studying it is in there。 I personally had to study it a lot of times， but it was worth it。 The exercises are absolutely recommended， but the lack of programming exercises （It's not that there are not any， there are。 But there could be more， IMHO） is still felt。 Absolutely stunning。 I managed to learn the basics of artificial intelligence using this book。 You don't have to know much before studying this book。 All you need to get by studying it is in there。 I personally had to study it a lot of times， but it was worth it。 The exercises are absolutely recommended， but the lack of programming exercises （It's not that there are not any， there are。 But there could be more， IMHO） is still felt。 。。。more
Antonis Maronikolakis
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Artificial Intelligence: A Modern Approach by Stuart Russel and Peter Norvig is book introducing the reader to a wide range of AI topics。 From the traditional Search problems to Natural Language Processing， this book has it all。 It brims with a lot of detail and is suited to anyone with an interest in AI。 If you want an introduction to this -sometimes daunting- field， this book is for you。Even though it doesn’t go in great detail in all topics， it offers a thorough investigation of most of them。 Artificial Intelligence: A Modern Approach by Stuart Russel and Peter Norvig is book introducing the reader to a wide range of AI topics。 From the traditional Search problems to Natural Language Processing， this book has it all。 It brims with a lot of detail and is suited to anyone with an interest in AI。 If you want an introduction to this -sometimes daunting- field， this book is for you。Even though it doesn’t go in great detail in all topics， it offers a thorough investigation of most of them。 The extra detail does not come with extra complications， thankfully， with the more advanced ideas covered in as clean a manner as the more basic ones。 There is pseudocode for most of the algorithms （and more is added with each edition） and there are a lot of examples， all of which make understanding and following the concepts so much more easier。What stands out for this book is how well written it is。 Everyone can pick it up with the most basic of backgrounds and they will understand and enjoy it。 The prose is clear and at times even playful and colorful。 This， on top of the great and simple explanations， makes studying it a joy。Also， for those who want to get their hands dirty with code， the book has some official accompanying public repositories （https://github。com/aimacode）。If you are interested in a guide in the fast growing field of Artificial Intelligence， look no further than this book。 I cannot recommend it enough。 。。。more
Samars
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Outstanding。
Sepehr
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neat ， complete ， funny and inspiring ， wonderful
Robert
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Classic。
Charluff
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