Artificial Intelligence (AI) has been around almost as long as computers have
been. It is only relatively recently, however, that some basic AI techniques have
been brought to bear on common software problems. This is not a book about
AI theory. It is a book about utilizing some AI technologies to enhance the
value of both new and existing applications. The four AI areas covered in this
book are Speech Recognition, Intelligent Agents, Data Mining, and Rule-Based
Systems. Through sample real-world applications, Sara Rea shows how to make
the AI technologies both accessible and usable. Most books on AI are either
dense, theoretical text books, or else general-interest trade books. This will be
the first book to show working .NET developers how to incorporate AI into
their daily work.
About the Author
Sara Rea is a senior developer for Public Systems Associates, a Baton Rouge-based company that produces legislative software. She is an MCSD and MCDBA and is certified in SQL Server 2000 and VB.NET. She specializes in developing Web-based applications utilizing Microsoft technologies. Since graduating from Louisiana State University in 1993 with a degree in quantitative business analysis, she has been developing software for a variety of industries, including a not-for-profit hospital, a financial company offering mortgages, a retail company selling coffee, and an Application Service Provider.
In 1998 she wrote an article on stress-testing Web sites that was featured on the front cover of MSDN Magazine, formerly named Microsoft Interactive Developer (MIND). Since then she has written articles featured in Enterprise Development and .NET Development. To reference the articles Sara Rea has written, refer to http://www.custsolutions.net. This Web site also features her latest research efforts and is a good resource for readers who want to learn more about enhanced computing.
(c) Copyright Pearson Education. All rights reserved.
About the Author.
2. Creating Applications That Talk.
3. Telephony Applications.
4. Multimodal Speech Applications.
5. Data-Mining Predictions.
6. Applying Data-Mining Predictions.
7. An Evolving Database.
8. Building an Agent.
9. The Future of Enhanced Computing.