Description:
Editorial Reviews
About the Author
About our authors
Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor and former chair of computer science, director of the Center for Human-Compatible AI, and holder of the Smith–Zadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was co-winner of the Computers and Thought Award. He is a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science, and Honorary Fellow of Wadham College, Oxford, and an Andrew Carnegie Fellow. He held the Chaire Blaise Pascal in Paris from 2012 to 2014. He has published over 300 papers on a wide range of topics in artificial intelligence. His other books include: The Use of Knowledge in Analogy and Induction, Do the Right Thing: Studies in Limited Rationality (with Eric Wefald), and Human Compatible: Artificial Intelligence and the Problem of Control.
Peter Norvig is currently Director of Research at Google, Inc., and was the director responsible for the core Web search algorithms from 2002 to 2005. He is a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. Previously, he was head of the Computational Sciences Division at NASA Ames Research Center, where he oversaw NASA’s research and development in artificial intelligence and robotics, and chief scientist at Junglee, where he helped develop one of the first Internet information extraction services. He received a B.S. in applied mathematics from Brown University and a Ph.D. in computer science from the University of California at Berkeley. He received the Distinguished Alumni and Engineering Innovation awards from Berkeley and the Exceptional Achievement Medal from NASA. He has been a professor at the University of Southern California and a research faculty member at Berkeley. His other books are: Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX.
The two authors shared the inaugural AAAI/EAAI Outstanding Educator award in 2016.
Reviews:
5.0 out of 5 stars Item is as advertise. Outstanding quality, and design!
Outstanding item.Just as advertised.
5.0 out of 5 stars Very succinct book
- I liked the structure of the book in terms of content and printing format.- I did not like the binding; although it is hardcover (which I prefer over paperback), it is glued like a paperback, and I am concerned the pages may start coming apart.- I would have liked some examples within the text, as well as exercises (along with solutions in a separate instructor's manual).
5.0 out of 5 stars Exceptionally well written - balancing the theoretical and practical
Very clearly written with all arguments straightforwardly expressed. I found it most helpful to cover in detail what we mean by intelligence/thought/capability before diving into the mechanics. Also the authors are honest about what is not known, including why certain methods work better than others.
5.0 out of 5 stars Find the problem you can solve
George Polya, the mathematician, once wrote: "If you can't solve a problem, then there is an easier problem you can solve. Find it". This book helps you find the easier problem. This is the greatest complement I could give to any technical book.
5.0 out of 5 stars Has everything a beginner needs to know and master AI
Has everything a beginner needs to know and master AI. Also easy to read and understand. Finally the author has created a website for this book where implementation of real life AI problems are written in java, python and various other languages.
4.0 out of 5 stars Great, but missing details that make it challenging for beginners
I like that this book covers a lot of ground and provides super useful information and algorithms. Super great book.I don't like that some parts in the algorithm pseudo code aren't thoroughly explained with examples of usage. Also, the formulae notation for the i'th and j'th iteration characters aren't properly explained or consistent across formulae, making it more difficult for beginners. I think the formulae notations could be more consistent and thoroughly explained.
5.0 out of 5 stars Excellent book for all things AI related
This book is definitely an improvement on last version which was already amazing. Very recommended
3.0 out of 5 stars Minority Report
Specialized fields attract positive reviewer bias for the same reason that interlocking boards attract ethical scrutiny: they are comprised of near peers who may need each other in the future. Even I, not a remote pretender to the poor branch of the family, feel this tug, that somehow, somewhere, I will enter into the sphere of influence of Russell & Norvig and my lukewarm review will come back to haunt me. I will have to take that chance.The intended captive audience is comprised of (or is it "comprises"?) students who must use this book and be tested on material in it, and it shows. Ideal academic material justifies its existence by providing difficult, testable subject matter, perhaps on the theory that exercise is exercise, much as prospective colonial administrators during the age of British empire were subjected to the rigor of ancient Latin and Greek—well understood, difficult, and testable—so those so winnowed would likely be up to running colonies. Maybe it was even an effective system.The equivalent observation here stems from material like this:"The LRTA∗ algorithm was developed by Korf (1990) as part of an investigation into realtime search for environments in which the agent must act after searching for only a fixed amount of time (a common situation in two-player games). LRTA∗ is in fact a special case of reinforcement learning algorithms for stochastic environments (Barto et al., 1995).""Common in two-player games"? As opposed to what!? Except for the sometimes open-ended limit of how long to look in a particular case it is the universal situation in human experience that we must act under imperfect information after a finite period of evaluation; this was understood before Korf devised a special algorithm to handle a specialized case. Then there is: "stochastic environments". This is academic speak for "environments which contain an element of chance". "Stochastic" dresses this universal situation up so it sounds like we said something sophisticated. We didn't, we just displayed a few ostentatious feathers.Well, I did get a textbook, whereas the more efficient method of investigation is interrogation. What did I expect?
Kindle version is unreadable
Some figures are missing, and mathematical expressions are messed up.
Vermittelt interessante Erkenntnisse
Meine Tochter studiert artifical intelligence online an der IUBH. sie ist von dem Buch begeistert. Es ist sehr unformativ und für ihr Studium sehr hilfreich.Sie kann es sehr empfehlen,
El mejor libro de texto sobre inteligencia artificial
Este libro ha sufrido varias reediciones, pero la edición 2020 es simplemente soberbia, es un tratado completo de todas las áreas de la Inteligencia Artificial, completamente actualizada.Los capítulos de Machine Learning y Deep Learning han sido actualizados de forma que incluyen los últimos avances, y al verificar los autores de cada capítulo se observa que los principales investigadores de cada área han colaborado.Es un libro de texto que da para varias asignaturas trimestrales, y como consulta tiene un valor incalculable.Lo recomiendo a todo estudiante avanzado de informática o matemáticas que quiera entrar en el mundo fascinante de la IA.Ojo. Es un libro de texto, pesa un par de kilos (revisa las medidas porque es un libro grande)
The definitive and most comprehensive book on Artificial Intelligence.
For anyone who has studied the previous version(s) of this book, you'll know just how detailed and incredibly comprehensive this is. It is generally agreed to be the most credible and thorough book within the field of AI, by virtue of the backgrounds of the primary authors, along with its vast size of 1100+ pages. Even at this vast length, the information distilled into each of the sections is dense and very valuable, and I cant really highlight any chapters that are particularly redundant. You can also gain an incredible amount of knowledge from each of the sections of the book, even without a full understanding of the concepts the first time round (or reading many of the earlier chapters). For this reason it is widely used as a primary reference throughout academic courses in AI.Where this book really shines is its heavy focus on foundational AI principles and topics that are concrete and timeless (as timeless as concepts can be in such a fast-moving field!). The modernised field of AI is heavily dominated by machine learning, but this represents only a subset of the field, with a vast expanse of other important subfields. This book branches across into all of these other areas (along with strong coverage of machine learning too), and if studied, will provide you with a very strong and grounded foundation in AI.It should be highlighted that the book is challenging, and is far from a simple read. It is very good as a reference book, and for dipping into and out of as required - it's unlikely you'll manage to commit to reading the book from start to finish. This is not due to fault of the authors, who do a fantastic job of using engaging and easily-read writing styles, but is simply by virtue of the complicated and vast topics that the book is based on.In terms of the 4th Edition itself, I would fully recommend this updated version over any of the previous versions. There is a significant amount of new material and improvements compared to the 3rd edition, which helps capture the major developments throughout the past ten years. There are now extensive chapters on Deep learning, probabilistic programming, multi-agent architectures, natural language processing, computer vision and robotics. Furthermore, the book now has a much better glossary with huge range of topics to quickly find, which was definitely a downside of prior editions.In terms of the physical book itself, I have no major issues with the 4th Edition and can summarise as follows:- It is huge (1100+ pages).- It is expensive, but nevertheless a very good investment. It is unlikely another edition of this book will be released for a long time (last version was published in 2010), and so this will stand the test of time for now.- High quality hardback, with good binding (contrary to other reviews I have read).- The pages are thin, but nevertheless high quality, with great use of colour on all pages, illustrations and diagrams.- The book shipped from the US to the UK for delivery, and despite this still arrived pristine without any damage at all. I ordered through Bolo with Book Depository, who packaged it very carefully in a decent sized box with bubble wrap. I know some other sellers might not be so diligent, which isn't worth taking the chance with such an expensive book.Overall, I thoroughly recommend. An essential book for the collection of any AI researchers, students, data scientists or AI practitioners.
Excelente
Livro completo. Muito denso e técnico, mas de grande valia e de uma qualidade sensacional.
Visit the Pearson Store
Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence)
AED1,44429
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Visit the Pearson Store
Artificial Intelligence: A Modern Approach (Pearson Series in Artifical Intelligence)
AED1,44429
Quantity:
Order today to get by 7-14 business days
This item qualifies for free delivery
Imported From: United States
At BOLO, we work hard to ensure the products you receive are new, genuine, and sourced from reputable suppliers.
BOLO is not an authorized or official retailer for most brands, nor are we affiliated with manufacturers unless specifically stated on a product page. Instead, we source verified sellers, authorized distributors or directly from the manufacturer.
Each product undergoes thorough inspection and verification at our consolidation and fulfilment centers to ensure it meets our strict authenticity and quality standards before being shipped and delivered to you.
If you ever have concerns regarding the authenticity of a product purchased from us, please contact Bolo Support. We will review your inquiry promptly and, if necessary, provide documentation verifying authenticity or offer a suitable resolution.
Your trust is our top priority, and we are committed to maintaining transparency and integrity in every transaction.
All product information, images, descriptions, and reviews originate from the manufacturer or from trusted sellers overseas. BOLO is not affiliated with, endorsed by, or an authorized retailer for most brands listed on our website unless stated otherwise.
While we strive to display accurate information, variations in packaging, labeling, instructions, or formulation may occasionally occur due to regional differences or supplier updates. For detailed or manufacturer-specific information, please contact the brand directly or reach out to BOLO Support for assistance.
Unless otherwise stated, all prices displayed on the product page include applicable taxes and import duties.
BOLO operates in accordance with the laws and regulations of United Arab Emirates. Any items found to be restricted or prohibited for sale within the UAE will be cancelled prior to shipment. We take proactive measures to ensure that only products permitted for sale in United Arab Emirates are listed on our website.
All items are shipped by air, and any products classified as “Dangerous Goods (DG)” under IATA regulations will be removed from the order and cancelled.
All orders are processed manually, and we make every effort to process them promptly once confirmed. Products cancelled due to the above reasons will be permanently removed from listings across the website.
Description:
Editorial Reviews
About the Author
About our authors
Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor and former chair of computer science, director of the Center for Human-Compatible AI, and holder of the Smith–Zadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was co-winner of the Computers and Thought Award. He is a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science, and Honorary Fellow of Wadham College, Oxford, and an Andrew Carnegie Fellow. He held the Chaire Blaise Pascal in Paris from 2012 to 2014. He has published over 300 papers on a wide range of topics in artificial intelligence. His other books include: The Use of Knowledge in Analogy and Induction, Do the Right Thing: Studies in Limited Rationality (with Eric Wefald), and Human Compatible: Artificial Intelligence and the Problem of Control.
Peter Norvig is currently Director of Research at Google, Inc., and was the director responsible for the core Web search algorithms from 2002 to 2005. He is a Fellow of the American Association for Artificial Intelligence and the Association for Computing Machinery. Previously, he was head of the Computational Sciences Division at NASA Ames Research Center, where he oversaw NASA’s research and development in artificial intelligence and robotics, and chief scientist at Junglee, where he helped develop one of the first Internet information extraction services. He received a B.S. in applied mathematics from Brown University and a Ph.D. in computer science from the University of California at Berkeley. He received the Distinguished Alumni and Engineering Innovation awards from Berkeley and the Exceptional Achievement Medal from NASA. He has been a professor at the University of Southern California and a research faculty member at Berkeley. His other books are: Paradigms of AI Programming: Case Studies in Common Lisp, Verbmobil: A Translation System for Face-to-Face Dialog, and Intelligent Help Systems for UNIX.
The two authors shared the inaugural AAAI/EAAI Outstanding Educator award in 2016.
Reviews:
5.0 out of 5 stars Item is as advertise. Outstanding quality, and design!
Outstanding item.Just as advertised.
5.0 out of 5 stars Very succinct book
- I liked the structure of the book in terms of content and printing format.- I did not like the binding; although it is hardcover (which I prefer over paperback), it is glued like a paperback, and I am concerned the pages may start coming apart.- I would have liked some examples within the text, as well as exercises (along with solutions in a separate instructor's manual).
5.0 out of 5 stars Exceptionally well written - balancing the theoretical and practical
Very clearly written with all arguments straightforwardly expressed. I found it most helpful to cover in detail what we mean by intelligence/thought/capability before diving into the mechanics. Also the authors are honest about what is not known, including why certain methods work better than others.
5.0 out of 5 stars Find the problem you can solve
George Polya, the mathematician, once wrote: "If you can't solve a problem, then there is an easier problem you can solve. Find it". This book helps you find the easier problem. This is the greatest complement I could give to any technical book.
5.0 out of 5 stars Has everything a beginner needs to know and master AI
Has everything a beginner needs to know and master AI. Also easy to read and understand. Finally the author has created a website for this book where implementation of real life AI problems are written in java, python and various other languages.
4.0 out of 5 stars Great, but missing details that make it challenging for beginners
I like that this book covers a lot of ground and provides super useful information and algorithms. Super great book.I don't like that some parts in the algorithm pseudo code aren't thoroughly explained with examples of usage. Also, the formulae notation for the i'th and j'th iteration characters aren't properly explained or consistent across formulae, making it more difficult for beginners. I think the formulae notations could be more consistent and thoroughly explained.
5.0 out of 5 stars Excellent book for all things AI related
This book is definitely an improvement on last version which was already amazing. Very recommended
3.0 out of 5 stars Minority Report
Specialized fields attract positive reviewer bias for the same reason that interlocking boards attract ethical scrutiny: they are comprised of near peers who may need each other in the future. Even I, not a remote pretender to the poor branch of the family, feel this tug, that somehow, somewhere, I will enter into the sphere of influence of Russell & Norvig and my lukewarm review will come back to haunt me. I will have to take that chance.The intended captive audience is comprised of (or is it "comprises"?) students who must use this book and be tested on material in it, and it shows. Ideal academic material justifies its existence by providing difficult, testable subject matter, perhaps on the theory that exercise is exercise, much as prospective colonial administrators during the age of British empire were subjected to the rigor of ancient Latin and Greek—well understood, difficult, and testable—so those so winnowed would likely be up to running colonies. Maybe it was even an effective system.The equivalent observation here stems from material like this:"The LRTA∗ algorithm was developed by Korf (1990) as part of an investigation into realtime search for environments in which the agent must act after searching for only a fixed amount of time (a common situation in two-player games). LRTA∗ is in fact a special case of reinforcement learning algorithms for stochastic environments (Barto et al., 1995).""Common in two-player games"? As opposed to what!? Except for the sometimes open-ended limit of how long to look in a particular case it is the universal situation in human experience that we must act under imperfect information after a finite period of evaluation; this was understood before Korf devised a special algorithm to handle a specialized case. Then there is: "stochastic environments". This is academic speak for "environments which contain an element of chance". "Stochastic" dresses this universal situation up so it sounds like we said something sophisticated. We didn't, we just displayed a few ostentatious feathers.Well, I did get a textbook, whereas the more efficient method of investigation is interrogation. What did I expect?
Kindle version is unreadable
Some figures are missing, and mathematical expressions are messed up.
Vermittelt interessante Erkenntnisse
Meine Tochter studiert artifical intelligence online an der IUBH. sie ist von dem Buch begeistert. Es ist sehr unformativ und für ihr Studium sehr hilfreich.Sie kann es sehr empfehlen,
El mejor libro de texto sobre inteligencia artificial
Este libro ha sufrido varias reediciones, pero la edición 2020 es simplemente soberbia, es un tratado completo de todas las áreas de la Inteligencia Artificial, completamente actualizada.Los capítulos de Machine Learning y Deep Learning han sido actualizados de forma que incluyen los últimos avances, y al verificar los autores de cada capítulo se observa que los principales investigadores de cada área han colaborado.Es un libro de texto que da para varias asignaturas trimestrales, y como consulta tiene un valor incalculable.Lo recomiendo a todo estudiante avanzado de informática o matemáticas que quiera entrar en el mundo fascinante de la IA.Ojo. Es un libro de texto, pesa un par de kilos (revisa las medidas porque es un libro grande)
The definitive and most comprehensive book on Artificial Intelligence.
For anyone who has studied the previous version(s) of this book, you'll know just how detailed and incredibly comprehensive this is. It is generally agreed to be the most credible and thorough book within the field of AI, by virtue of the backgrounds of the primary authors, along with its vast size of 1100+ pages. Even at this vast length, the information distilled into each of the sections is dense and very valuable, and I cant really highlight any chapters that are particularly redundant. You can also gain an incredible amount of knowledge from each of the sections of the book, even without a full understanding of the concepts the first time round (or reading many of the earlier chapters). For this reason it is widely used as a primary reference throughout academic courses in AI.Where this book really shines is its heavy focus on foundational AI principles and topics that are concrete and timeless (as timeless as concepts can be in such a fast-moving field!). The modernised field of AI is heavily dominated by machine learning, but this represents only a subset of the field, with a vast expanse of other important subfields. This book branches across into all of these other areas (along with strong coverage of machine learning too), and if studied, will provide you with a very strong and grounded foundation in AI.It should be highlighted that the book is challenging, and is far from a simple read. It is very good as a reference book, and for dipping into and out of as required - it's unlikely you'll manage to commit to reading the book from start to finish. This is not due to fault of the authors, who do a fantastic job of using engaging and easily-read writing styles, but is simply by virtue of the complicated and vast topics that the book is based on.In terms of the 4th Edition itself, I would fully recommend this updated version over any of the previous versions. There is a significant amount of new material and improvements compared to the 3rd edition, which helps capture the major developments throughout the past ten years. There are now extensive chapters on Deep learning, probabilistic programming, multi-agent architectures, natural language processing, computer vision and robotics. Furthermore, the book now has a much better glossary with huge range of topics to quickly find, which was definitely a downside of prior editions.In terms of the physical book itself, I have no major issues with the 4th Edition and can summarise as follows:- It is huge (1100+ pages).- It is expensive, but nevertheless a very good investment. It is unlikely another edition of this book will be released for a long time (last version was published in 2010), and so this will stand the test of time for now.- High quality hardback, with good binding (contrary to other reviews I have read).- The pages are thin, but nevertheless high quality, with great use of colour on all pages, illustrations and diagrams.- The book shipped from the US to the UK for delivery, and despite this still arrived pristine without any damage at all. I ordered through Bolo with Book Depository, who packaged it very carefully in a decent sized box with bubble wrap. I know some other sellers might not be so diligent, which isn't worth taking the chance with such an expensive book.Overall, I thoroughly recommend. An essential book for the collection of any AI researchers, students, data scientists or AI practitioners.
Excelente
Livro completo. Muito denso e técnico, mas de grande valia e de uma qualidade sensacional.
Similar suggestions by Bolo
More from this brand
Similar items from “Intelligence & Semantics”
Share with
Or share with link
https://www.bolo.ae/products/U0134610997