Heuristic search: theory and applications
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....
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| Weitere beteiligte Personen: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Waltham, MA
Morgan Kaufmann/Elsevier
2012
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| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9780123725127/?ar |
| Zusammenfassung: | 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. Printbegrænsninger: Der kan printes kapitelvis. |
| Beschreibung: | Includes bibliographical references and index. - Print version record |
| Umfang: | 1 Online-Ressource |
| ISBN: | 0123725127 9780123725127 |
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| spelling | Heuristic search theory and applications Stefan Edelkamp, Stefan Schrödl Waltham, MA Morgan Kaufmann/Elsevier 2012 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Print version record 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. Printbegrænsninger: Der kan printes kapitelvis. Heuristic algorithms Algorithmes heuristiques Edelkamp, Stefan MitwirkendeR ctb Schrödl, Stefan MitwirkendeR ctb 9780123725127 Erscheint auch als Druck-Ausgabe 9780123725127 |
| spellingShingle | Heuristic search theory and applications Heuristic algorithms Algorithmes heuristiques |
| title | Heuristic search theory and applications |
| title_auth | Heuristic search theory and applications |
| title_exact_search | Heuristic search theory and applications |
| title_full | Heuristic search theory and applications Stefan Edelkamp, Stefan Schrödl |
| title_fullStr | Heuristic search theory and applications Stefan Edelkamp, Stefan Schrödl |
| title_full_unstemmed | Heuristic search theory and applications Stefan Edelkamp, Stefan Schrödl |
| title_short | Heuristic search |
| title_sort | heuristic search theory and applications |
| title_sub | theory and applications |
| topic | Heuristic algorithms Algorithmes heuristiques |
| topic_facet | Heuristic algorithms Algorithmes heuristiques |
| work_keys_str_mv | AT edelkampstefan heuristicsearchtheoryandapplications AT schrodlstefan heuristicsearchtheoryandapplications |