- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
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.eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at [email protected]. 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.
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Information
Table of contents
- Cover Page
- Half Title Page
- License
- Title Page
- Copyright Page
- Dedication
- Contents
- Preface
- Acknowledgments
- Credits for the 2nd Edition
- PART 1: INTRODUCTION
- PART II: FUNDAMENTALS
- PART III: KNOWLEDGE-BASED SYSTEMS
- PART IV: ADVANCED TOPICS
- PART V: THE PRESENT AND FUTURE
- 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
- Index