The purpose of this book is to demystify the techniques associated with the field of artificial intelligence. It will cover a wide variety of techniques currently defined as "AI" and show how they can be useful in practical, everyday applications.
Many books on artificial intelligence provide tutorials for AI methods, but their applications are restricted to toy problems that have little relevance in the real world. AI Application Programming covers both the theory and the practical applications to teach developers how to apply AI techniques in their own designs. The book is split by AI subfields (statistical methods, symbolic methods, etc.) to further refine the methods and applications for the reader. Each chapter covers both the theory of the algorithm or the technique under discussion and follows with a practical application of the technique with a detailed discussion of the source code.
- Covers cutting edge AI concepts such as neural networks, genetic algorithms, intelligent agents, rules-based systems, ant algorithms, fuzzy logic, unsupervised learning algorithms, and more
- Provides practical applications including a personalization application, a rules-based reasoning system, a character trainer for game AI, a Web-based news agent, a fuzzy battery charge controller, a genetic code generator, artificial life simulation, and others