ENGLISH

Heuristic Search: Theory and Applications

By Stefan Edelkamp , Stefan Schroedl

Book information

Publisher
Elsevier
Year
2011
ISBN
0123725127, 9780123725127
LCC
QA76.9.A43 E34 2011
Open Library ID
OL24827121M
Language
english
Format
PDF
Filesize
12 MB (12367059 bytes)
Edition
1
Pages
865\865
Library
0day
Time added
2011-09-11 16:07:43
Информатика и вычислительная техника;Искусственный

Description

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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