Samenvatting

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.

Specificaties

ISBN13:9780123725127
Taal:Engels
Bindwijze:Gebonden

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Inhoudsopgave

<p>PART I Heuristic Search Primer <br>Chapter 1 Introduction<br>Chapter 2 Basic Search Algorithms <br>Chapter 3 Dictionary Data Structures <br>Chapter 4 Automatically Created Heuristics</p> <p>PART II Heuristic Search under Memory Constraints<br>Chapter 5 Linear-Space Search<br>Chapter 6 Memory Restricted Search <br>Chapter 7 Symbolic Search <br>Chapter 8 External Search </p> <p>PART III Heuristic Search under Time Constraints <br>Chapter 9 Distributed Search <br>Chapter 10 State Space Pruning<br>Chapter 11 Real-Time Search by Sven Koenig </p> <p>PART IV Heuristic Search Variants <br>Chapter 12 Adversary Search <br>Chapter 13 Constraint Search <br>Chapter 14 Selective Search</p> <p>PART V Heurstic Search Applications<br>Chapter 15 Action Planning <br>Chapter 16 Automated System Verification <br>Chapter 17 Vehicle Navigation <br>Chapter 18 Computational Biology <br>Chapter 19 Robotics by Sven Koenig </p>

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        Heuristic Search