Artificial Intelligence using C

With Herbert Schildt's newest book, you can add a powerful dimension to your C programs — artificial intelligence.

Schildt, a programming expert and author of seven Osborne books, shows C programmers how to use AI techniques that have traditionally been implemented with Prolog and LISP.

You'll utilize AI for

• Vision
• Pattern recognition
• Robotics
• Machine learning
• Logic
• Problem solving
• Natural language processing

Each chapter develops practical examples that can be used in the construction of AI applications.

If you are building expert systems in C, this book contains a complete expert system that can be easily adapted to your needs. And Schildt provides valuable insights for even greater command of the systems you create.

1. Artificial Intelligence: A Quick Overview
• A Short History of AI
• Can Computers Think?
• Defining Machine Intelligence
• AI's Major Topics
• Why Use C for AI Programming
• Databases, Backtracking, and List Processing
2. Problem Solving: The Search for Solutions
• Representation and terminology
• Combinatorial Explosions
• Search Techniques
• Evaluating a Search
• The Depth-First Search Technique
• The Breadth-First Search Technique
• Adding Heuristics
• The Hill-Climbing Search Technique
• The Least-Cost Search Technique
• Choosing a Search Technique
• Finding Multiple Solutions
• Finding the Optimal Solution
• Back to the Missing Keys
3. Expert Systems
• What Is an Expert System?
• How Expert Systems Work
• Creating a General-Purpose Expert System
• A More Sophisticated Version
• Knowledge Engineering
4. Natural-Language Processing
• What Is Natural-Language Processing?
• Approaches to Natural-Language Processing
• Restricting Language
• The State-Machine NLP Parser
• The Context-Free Recursive-Descent NLP Parser
• The Noise-Disposal Parser
5. Vision and Pattern Recognition
• Filtering, Contrast, and Shading
• Two-Dimensional Systems
• Three-Dimensional Systems
• Common Recognition Problems
• Two-Dimensional Pattern Recognition
• Generalized Systems
6. Robotics
• Robot Arms
• The Industrial Robot
• Autonomous Robots
• Creating a Robot Simulator
7. Machine Learning
• Two Kinds of Learning
• How Class Descriptions Are Learned
• Knowledge Representation
• Implementing the Hot-and-Near-Miss Procedure
8. Logic and Uncertainty
• Logic
• Uncertainty
• Fuzzy Logic
• Probabilistic Systems
9. Appearing Human
• Trickery?
• What Good Is It?
• Human Versus Machine
• Going to the Doctor
• Implications of Humanlike Computers

1. A Review of C
• The origins of C
• C as a Structured Language
• A Brief Review
• Statement Summary
• The C Preprocessor
• The C Standard Library

This is not an especially intelligent book. Please put it out of its misery. RIP.