Rea S.M. Building Intelligent .NET Applications. Agents, Data Mining, Rule-Based Systems, and Speech Processing

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Издательство Addison Wesley, 2005, -331 pp.

Artificial intelligence (AI) has been in existence almost as long as computers. However, only recently have AI techniques been widely incorporated by companies to enhance traditional business applications.
Building Intelligent .NET Applications is an introduction to the world of Artificial Intelligence (AI) for .NET programmers. It is the first book to show professional .NET developers how to incorporate AI into their daily programming. In this accessible guide, developers will lea how to enhance both new and existing .NET applications with intelligent agents, data mining, rule-based systems, and speech processing.
The author explores four of the most popular AI technologies by building real-world sample applications that readers can use as the basis for their own applications.
Highlights include
Applications that talk—critical for companies seeking to automate their call centers
Speech-enabled mobile applications
Multimodal speech applications
Data-mining predictions, which uncover trends and pattes in large quantities of data
Rule-based programming for applications that can be more reactive to their environments
Multiple software agents that are able to keep remote users up to date
Sample applications for Windows and the Web
With Building Intelligent .NET Applications, developers will lea the basic technologies of AI needed to create practical, time-saving enterprise applications.

Introduction
Creating Applications That Talk
Telephony Applications
Multimodal Speech Applications
Data-Mining Predictions
Applying Data-Mining Predictions
An Evolving Database
Building an Agent
The Future of Enhanced Computing

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