Artificial Intelligence: Foundations of Computational Agents is about the science of artificial intelligence (AI). It presents AI as the study of the design of intelligent. This modern AI textbook book is published by Cambridge University Press. The complete text is available here with permission of Cambridge University Press. Artificial Intelligence: Foundations of Computational Agents, second edition, Cambridge University Press , is a book about the science of artificial.
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Artificial Intelligence: Foundations of Computational Agents presents AI using a coherent framework to study the design of intelligent computational agents. This text is a modern and coherent introduction to the field of Artificial Intelligence that uses rational computational agents and logic as unifying threads in this. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students.
Make no mistake: Norvig, Artificial Intelligence , doi: Over the years, I have taught from earlier editions of the texts by Luger and by Rich, Knight, and Nair. Let me explain why. The result, I believe, is that the book has become overly long and less integrated and less useful to the average student.
The result is often unsatisfying for the instructor and students find it difficult to wade through the extra material to find what is relevant for their course. In summary, I highly recommend this book to instructors of introductory AI courses and to those who wish to learn about the foundations of the field through self-study.
As many will be aware, there is already an excellent textbook by Russell and Norvig with the same target audience that has dominated the field for more than ten years. However, all things considered-selective coverage, level of detail, quality of explanations, exercises, online materials, free availability, and so on-I believe the clear advantage goes to the newcomer.
Certainly the book sets a new standard for AI textbooks with its supplementary online tools and tutorials. This is a textbook aimed at advanced undergraduate and first-year graduate students presenting artificial intelligence AI using a coherent framework to study the design of intelligent computational agents.
This book encapsulates the latest results of the field without being exhaustive and encyclopedic and develops the science of AI together with its engineering applications, such as the online learning environment Aispace.
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Recent decades have witnessed the emergence of artificial intelligence as a serious science and engineering discipline. Artificial Intelligence: Foundations of Computational Agents is a textbook aimed at junior to senior undergraduate students and first-year graduate students.
It presents artificial intelligence AI using a coherent framework to study the design of intelligent computational agents. By showing how basic approaches fit into a multidimensional design space, readers can learn the fundamentals without losing sight of the bigger picture. The book balances theory and experiment, showing how to link them intimately together, and develops the science of AI together with its engineering applications.
Although structured as a textbook, the book's straightforward, self-contained style will also appeal to a wide audience of professionals, researchers, and independent learners.
AI is a rapidly developing field: It teaches the main principles and tools that will allow readers to explore and learn on their own. The text is supported by an online learning environment, artint. Read more Read less. Frequently bought together. Total price: Add all three to Cart Add all three to List.
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Review "This text is a modern and coherent introduction to the field of Artificial Intelligence that uses rational computational agents and logic as unifying threads in this vast field. Read more. Product details Hardcover: Cambridge University Press; 1 edition April 19, Language: English ISBN Try the Kindle edition and experience these great reading features: Share your thoughts with other customers. Write a customer review.
Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. Hardcover Verified download. This book presents an ingenious nine dimensional taxonomy of the design space for a computational agent, which I'll call the PM Poole-Mackworth taxonomy. Unfortunately, after presenting this taxonomy in chapter 1, it is not directly referenced again until chapter 15, the final chapter.
My preference would be that the PM taxonomy be referenced constantly throughout the book, for example by reference to appropriate nine-dimensional spider diagrams. Relationships between topics would be represented as relationships between points on the PM spider diagram, and transitions between topics would be described accordingly. Any proposed AI taxonomy will only be generally accepted if it is shown to be useful, and this book does not try very hard to demonstrate the utility of the PM taxonomy.
The need for a useful taxonomy for AI is demonstrated by one of this book's main competitors, the encyclopedic Russell-Norvig book. The 'everything but the kitchen sink' approach employed in the Russell-Norvig book is intellectually unsatisfying; a future edition of Poole-Mackworth's book has the potential to bring some much-needed order to the field of AI.
Kindle Edition Verified download. I bought "Artificial Intelligence" as a warm-up for my master studies and I don't regret downloading it: I believe that the book can serve both as a solid textbook and as a reference book for those who already have some experience with AI. Don't expect a novel, though: I like this book a lot. If I were going to write an AI text that was limited to "only" pages, and which focused on a combination of Agent-based and Logic-based approaches, I would consider myself very lucky indeed to do as well as this book.
This is really a "2nd edition" of their book by a different name and publisher: In particular, probabilistic reasoning in logic-based AI is explained here.
The obvious naturally intelligent agent is the human being. Some people might say that worms, insects, or bacteria are intelligent, but more people would say that dogs, whales, or monkeys are intelligent see Exercise 1. One class of intelligent agents that may be more intelligent than humans is the class of organizations. Ant colonies are a prototypical example of organizations. Each individual ant may not be very intelligent, but an ant colony can act more intelligently than any individual ant.
The colony can discover food and exploit it very effectively as well as adapt to changing circumstances.
Similarly, companies can develop, manufacture, and distribute products where the sum of the skills required is much more than any individual could master. Modern computers, from low-level hardware to high-level software, are more complicated than any human can understand, yet they are manufactured daily by organizations of humans.
Human society viewed as an agent is arguably the most intelligent agent known.
It is instructive to consider where human intelligence comes from. There are three main sources: biology: Humans have evolved into adaptable animals that can survive in various habitats. These sources interact in complex ways. Biological evolution has provided stages of growth that allow for different learning at different stages of life.
We humans and our culture have evolved together so that humans are helpless at birth, presumably because of our culture of looking after infants.
Culture interacts strongly with learning.