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Item Details
| Title:
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HEURISTIC SEARCH
THEORY AND APPLICATIONS |
| By: |
Stefan Edelkamp, Stefan Schroedl |
| Format: |
Hardback |
| List price:
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£61.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0123725127 |
| ISBN 13: |
9780123725127 |
| Publisher: |
ELSEVIER SCIENCE & TECHNOLOGY |
| Pub. date: |
20 June, 2011 |
| Pages: |
712 |
| Description: |
Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. This title presents a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. |
| Synopsis: |
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. |
| Publication: |
US |
| Imprint: |
Morgan Kaufmann Publishers In |
| Returns: |
Non-returnable |
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