Artificial Intelligence in the 21st Century, 2nd Edition

This new edition provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations. It includes numerous examples, applications, full color images, and human interest boxes to enhance student interest. New chapters on robotics and machine learning are now included. Advanced topics cover neural nets, genetic algorithms, natural language processing, planning, and complex board games. A companion DVD is provided with resources, applications, and figures from the book. Numerous instructors’ resources are available upon adoption.

FEATURES:

• Includes new chapters on robotics and machine learning and new sections on speech understanding and metaphor in NLP
• Provides a comprehensive, colorful, up to date, and accessible presentation of AI without sacrificing theoretical foundations
• Uses numerous examples, applications, full color images, and human interest boxes to enhance student interest
• Introduces important AI concepts e.g., robotics, use in video games, neural nets, machine learning, and more thorough practical applications
• Features over 300 figures and color images with worked problems detailing AI methods and solutions to selected exercises
• Includes DVD with resources, simulations, and figures from the book
• Provides numerous instructors’ resources, including: solutions to exercises, Microsoft PP slides, etc.

Table of Contents

Part 1: Introduction
Chapter 1 Overview of Artificial Intelligence

PART II: FUNDAMENTALS
Chapter 2 Uninformed Search
Chapter 3 Informed Search
Chapter 4 Search Using Games
Chapter 5 Logic in Artificial Intelligence
Chapter 6 Knowledge Representation
Chapter 7 Production Systems

PART III: KNOWLEDGE-BASED SYSTEMS
Chapter 8 Uncertainty in AI
Chapter 9 Expert Systems
Chapter 10 Machine Learning: Part I Inductive Learning with Decision Trees
Chapter 11 Machine Learning : Part II Neural Networks
Chapter 12 Search Inspired by Mother Nature

PART IV: ADVANCED TOPICS
Chapter 13 Natural Language Understanding
Chapter 14 Automated Planning

PART V: THE PRESENT AND FUTURE
Chapter 15 Robotics
Chapter 16 Advanced Computer Games
Chapter 17 Reprise

Appendix A. Example with CLIPS: The Expert System Shell
Appendix B. Implementation of the Viterbi Algorithm for Hidden Markov Chains.
Appendix C. The Amazing Walter Shawn Browne
Appendix D. On Companion Data Disc
Appendix E. Solutions to Selected Odd Exercises