Heuristic search : theory and applications /
Edelkamp, Stefan.
Heuristic search : theory and applications / Stefan Edelkamp, Stefan Schrödl. - Amsterdam ; Boston : Elsevier/Morgan Kaufmann, ©2012. - 1 online resource (xxiv, 836 pages) : illustrations
Includes bibliographical references and index.
Heuristic search primer. Introduction -- Basic search algorithms -- Dictionary data structures -- Automatically created heuristics -- Heuristic search under memory constraints. Linear-space search -- Memory-restricted search -- Symbolic search -- External search -- Heuristic search under time constraints. Distributed search -- State space pruning -- Real-time search -- Heuristic search variants. Adversary search -- Constraint search -- Selective search -- Heurstic search applications. Action planning -- Automated system verification -- Vehicle navigation -- Computational biology -- Robotics.
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.
English.
9780123725127 (electronic bk.) 0123725127 (electronic bk.) 9780080919737 (electronic bk.) 0080919731 (electronic bk.) (hardback ; acid-free paper) (hardback ; acid-free paper) 1283133954 9781283133951 9786613133953 6613133957
9786613133953
9780080919737 Ingram Content Group
2011005844
017549273 Uk
Heuristic algorithms.
Algorithmes heuristiques.
COMPUTERS--Programming--Open Source.
COMPUTERS--Software Development & Engineering--Tools.
COMPUTERS--Software Development & Engineering--General.
Heuristic algorithms.
Electronic books.
Electronic books.
QA76.9.A43 / E34 2012
005.1/1
Heuristic search : theory and applications / Stefan Edelkamp, Stefan Schrödl. - Amsterdam ; Boston : Elsevier/Morgan Kaufmann, ©2012. - 1 online resource (xxiv, 836 pages) : illustrations
Includes bibliographical references and index.
Heuristic search primer. Introduction -- Basic search algorithms -- Dictionary data structures -- Automatically created heuristics -- Heuristic search under memory constraints. Linear-space search -- Memory-restricted search -- Symbolic search -- External search -- Heuristic search under time constraints. Distributed search -- State space pruning -- Real-time search -- Heuristic search variants. Adversary search -- Constraint search -- Selective search -- Heurstic search applications. Action planning -- Automated system verification -- Vehicle navigation -- Computational biology -- Robotics.
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.
English.
9780123725127 (electronic bk.) 0123725127 (electronic bk.) 9780080919737 (electronic bk.) 0080919731 (electronic bk.) (hardback ; acid-free paper) (hardback ; acid-free paper) 1283133954 9781283133951 9786613133953 6613133957
9786613133953
9780080919737 Ingram Content Group
2011005844
017549273 Uk
Heuristic algorithms.
Algorithmes heuristiques.
COMPUTERS--Programming--Open Source.
COMPUTERS--Software Development & Engineering--Tools.
COMPUTERS--Software Development & Engineering--General.
Heuristic algorithms.
Electronic books.
Electronic books.
QA76.9.A43 / E34 2012
005.1/1