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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Bibliographische Detailangaben
Hauptverfasser: Edelkamp, Stefan, Schrödl, Stefan
Format: E-Book Buch
Sprache:Englisch
Veröffentlicht: Waltham, Mass Morgan Kaufmann 2012
Elsevier Science & Technology
Morgan Kaufmann Publishers
Ausgabe:1
Schlagworte:
ISBN:0123725127, 9780123725127
Online-Zugang:Volltext
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Beschreibung
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
Bibliographie:Includes bibriographical references and index
Available also in a print ed.
Mode of access: Internet via World Wide Web.
Title from title screen.
ISBN:0123725127
9780123725127
DOI:10.1016/C2009-0-16511-X