- Paperback: 432 pages
- Publisher: John Wiley & Sons; 2nd Edition edition (9 April 2001)
- Language English
- ISBN-10: 047139601X
- ISBN-13: 978-0471396017
- Product Dimensions: 23.5 x 19 x 2.7 cm
- Average Customer Review: 4.0 out of 5 stars See all reviews (1 customer review)
- Amazon Bestsellers Rank: 868,881 in Books (See Top 100 in Books)
- See Complete Table of Contents
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More About the Author
Product Description
Product Description
A state–of–the–art guide on how to build intelligent Web–based applications using Java
Joseph and Jennifer Bigus update and significantly expand their book on building intelligent Web–based applications using Java. Geared to network programmers or Web developers who have previously programmed agents in Smalltalk or C++, this practical book explains in detail how to construct agents capable of learning and competing, including both design principles and actual code for personal agents, network or Web agents, multi–agent systems and commercial agents. New and revised coverage includes agent tools, agent uses for Web applications (including personalization, cross–selling, and e–commerce), and additional AI technologies such as fuzzy logic and genetic algorithms.
Joseph and Jennifer Bigus update and significantly expand their book on building intelligent Web–based applications using Java. Geared to network programmers or Web developers who have previously programmed agents in Smalltalk or C++, this practical book explains in detail how to construct agents capable of learning and competing, including both design principles and actual code for personal agents, network or Web agents, multi–agent systems and commercial agents. New and revised coverage includes agent tools, agent uses for Web applications (including personalization, cross–selling, and e–commerce), and additional AI technologies such as fuzzy logic and genetic algorithms.
From the Author
The book describes the principles of AI program design using Java's object-oriented features and present the essential AI algorithms used to develop agents that reason, model, and learn to adapt to the world around them. These algorithms and techniques are applied to practical "real-world" distributed computing applications. An intelligent agent architecture is developed and used it to construct several agent-enhanced programs, including a PC management agent, an adaptive Internet news reader that filters articles based on user preferences, and an electronic marketplace application where agents do the buying and selling.
Inside This Book
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First Sentence
In this chapter we explore the first major thrust of artificial intelligence (IA) reseach, problem solving using search. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
In this chapter we explore the first major thrust of artificial intelligence (IA) reseach, problem solving using search. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Customer Reviews
Most Helpful Customer Reviews
11 of 11 people found the following review helpful
Format:Paperback
To cut to the chase - this is one of the best books on agent design (in the Java language) at present. Whilst the discussion on AI techniques and technology is 'tip-of-the-iceberg' (this book is only 400 pages long!) it does cover the topics extremely well.
Whilst many people will head towards this book as a means to design 'intelligent agents' this book would also be useful for anyone studying AI at an undergraduate level as it covers many of the subject areas that I was taught and it is extremely useful to see how theory and practise are married. I would also recommend reading 'Artificial Intelligence - a Modern Approach' by Prentice Hall as it definitely complements this book very nicely.
The book is well laid out and the examples are explained in great detail and related back to the theory where applicable. The reason I gave this four stars is that I would like to see a little more on other AI technologies, especially reinforcement learning, and a little longer spent on IA design, but apart from that this book is a real must-have for any computer bookshelf.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
7 reviews
39 of 40 people found the following review helpful
Too light for me.
23 Mar 2002
Format:Paperback|Amazon Verified Purchase
From the beginning of chapter 1 to the end of the index, this book is 408 pages. The authors do not begin to discuss agents until chapter six (page 201). So ~half of this book is merely introductory material. It's impossible to give more than a token survey to search, KR, back/forward chaining, fuzzy systems and neural networks in the allocated 200 pages. I feel this was a wasted effort best left to other books (like Russell and Norvig).
In contrast to the 200 page intro to AI, there is no primer on Java contained within this book. I feel this is OK since there are also many excellent books on Java. I only mention this to be complete in my review.
The real meat of this book is only ~165 pages (chapter 6 through 10). The agent examples are light, but adequate and I feel the concepts come across. Overall, I'm not sure I got my money's worth. I would have liked more discussion of various frameworks and maybe some examples of these. Implementations are lumped together in a hurried review in the last chapter.
If you already have some exposure to AI, you might consider a more advanced book. If you have never thought about AI, this book might serve as an introduction, but it is certainly not a comprehensive review.
18 of 19 people found the following review helpful
Good book to get into agents
31 May 2001
Format:Paperback
I enjoyed reading this book -- particularly the humorous comments throughout that lightened up things. The example applications in almost every chapter were a good test bed to play around with and explore the concepts. I would not have understood things nearly as well without them. As the authors state, they don't teach you everything you need to know about the AI pieces, but with some digging on my own, I THINK I understand the basics enough to make progress. The UML package diagrams are worthless, and I wish the space had been used for something else -- maybe more background info or a summary of the agents in the chapter. But that is a minor complaint. I really liked the book and I'm anxious to apply some of the AI and agent techniques in my upcoming projects.
14 of 14 people found the following review helpful
Good introduction to intelligent agents
19 May 2001
Format:Paperback
I enjoyed reading the book. It is a fair introduction to intelligent agents. The main concern I have is the (too) brief discussion of the underlying concepts. I would be surprised if anyone with no idea of these techniques can actually pick up much beyond the superficial. Since this is an introduction, this is less of a fault. But, this should not be a "text", as claimed by the authors; it can at best be served as a supplement to an existing text in AI or machine learning (e.g., Bishop 1995; Winston 1991; Russell and Novig, 1995; Mitchell, 1997, etc.)
Regarding the code provided: they are cleanly written except not well designed. (e.g., field variables are package visible and are used as obj.field throughout the code -- bad OO practice). If what one needs is to "pull" code into existing applications, think twice.
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