The author does a fine job of distinguishing CBR from other artificial intelligence models, such as expert systems (which are rules-based and can be hard to develop because experts don't always get their expertise translated perfectly by programmers) and neural networks (CBR can be more accurate because it can match characteristics and give a reason, while a neural network cannot), and proving that CBR can be faster computationally. He also gives an excellent presentation on how CBR has been used successfully in a surprising range of applications, such as manufacturing, medicine, law, and help desk systems for products, including Web-based applications systems for users. (Help desk applications are a natural fit for CBR technology, but they are not its only use.)

CBR has already enjoyed considerable success without many people knowing about it. (As the author suggests, expert systems, a promising older artificial intelligence [AI] technology, never quite lived up to its initial dazzle.) The author shows that CBR research has already been used to create products. He provides a survey of tools from two continents as well as an extensive bibliography for those experts who want to read more on the subject.