Average Reviews:
(More customer reviews)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.
Click Here to see more reviews about: Constructing Intelligent Agents Using Java: Professional Developer's Guide, 2nd Edition
A state-of-the-art guide on how to build intelligent Web-based applications using JavaJoseph 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.
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