Ai Application Programming

Ai Application Programming

by Jones
     
 

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

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Overview

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.

Key Features:

  • 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
  • Includes a CD-ROM with complete source code for the applications


ON the CD
The CD-ROM contains a number of useful applications and source code that demonstrate the properties of AI algorithmic techniques and methods(WIN/Linux).

APPLICATIONS
  • Simulated Annealing
  • Adaptive Resonance Theory
  • Ant Algorithms
  • Backpropagation Algorithm
  • Genetic Algorithms / Genetic Programming
  • Artificial Life / Evolving Neural Networks
  • Expert Systems
  • Fuzzy Logic
  • Hidden Markov Models
  • Intelligent Agents

SYSTEM REQUIREMENTS:
Applications on this CD-ROM require a PC with Windows 95, 98, 2000, Me, or XP using the Cygwin UNIX environment (freely downloadable); or Linux (Red Hat 6.1 or later, or comparable Linux distribution); 486 or higher CPU; 64MB RAM; 60MB disk space; CD-ROM drive; Internet access and Web browser (for the WebAgent example).

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Product Details

ISBN-13:
2901584504213
Publisher:
Cengage Learning
Publication date:
06/28/2005
Edition description:
NE

Meet the Author


M. Tim Jones is an embedded software architect and the author of numerous books, including AI Application Programming, Second Edition (Charles River Media), BSD Sockets Programming from a Multilanguage Perspective (Charles River Media), Artifi cial Intelligence: A Systems Approach, and many articles on a variety of technical subjects. His engineering background ranges from the development of kernels for geosynchronous spacecraft to embedded systems architecture and networking protocols development. Tim is a consultant engineer for Emulex Corp. in Longmont, Colorado.

Table of Contents

History of AI
Simulated Annealing
Adaptive Resonance Theory
Ant Algorithms
Backpropagation Neural Networks
Genetic Algorithms / Genetic Programming
Neural Network Evolution
Rules-Based Systems
Fuzzy Logic
Hidden Markov Models
Intelligent Agents
AI Today
About the CD

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