- 712 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments in search such as pattern databases and search with efficient use of external memory and parallel processing units on main boards and graphics cards are detailed.
Heuristic search as a problem solving tool is demonstrated in applications for puzzle solving, game playing, constraint satisfaction and machine learning. While no previous familiarity with heuristic search is necessary the reader should have a basic knowledge of algorithms, data structures, and calculus. Real-world case studies and chapter ending exercises help to create a full and realized picture of how search fits into the world of artificial intelligence and the one around us.
- Provides real-world success stories and case studies for heuristic search algorithms
- Includes many AI developments not yet covered in textbooks such as pattern databases, symbolic search, and parallel processing units
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Information
Table of contents
- Cover Image
- Table of Contents
- Front Matter
- Copyright
- List of Algorithms
- Preface
- Chapter 1. Introduction
- Chapter 2. Basic Search Algorithms
- Chapter 3. *Dictionary Data Structures
- Chapter 4. Automatically Created Heuristics
- Chapter 5. Linear-Space Search
- Chapter 6. Memory-Restricted Search
- Chapter 7. Symbolic Search
- Chapter 8. External Search
- Chapter 9. Distributed Search
- Chapter 10. State Space Pruning
- Chapter 11. Real-Time Search
- Chapter 12. Adversary Search
- Chapter 13. Constraint Search
- Chapter 14. Selective Search
- Chapter 15. Action Planning
- Chapter 16. Automated System Verification
- Chapter 17. Vehicle Navigation
- Chapter 18. Computational Biology
- Chapter 19. Robotics
- Bibliography
- Index
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Yes, you can access Heuristic Search by Stefan Edelkamp,Stefan Schroedl in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.