Heuristic Search (ePub)

Name: Heuristic Search
Brand: Elsevier Science & Techn.
SKU: 35318194
Price: 57.60 EUR
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Theory and Applications (Sprache: Englisch)

Autoren: Stefan Edelkamp , Stefan Schroedl

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Heuristic Search, Stefan Edelkamp, Stefan Schroedl

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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

Autoren-Porträt von Stefan Edelkamp, Stefan Schroedl

Stefan Edelkamp is senior researcher and lecturer at University Bremen, where he heads projects on intrusion detection, on model checking and on planning for general game playing. He received an M.S. degree from the University Dortmund for his Master's thesis on "Weak Heapsort", and a Ph.d. degree from the University of Freiburg for his dissertation on "Data Structures and Learning Algorithms in State Space Search". Later on, he obtained a postdoctoral lecture qualification (Venia Legendi) for his habilitation on "Heuristic Search". His planning systems won various first and second performance awards at International Planning Competitions. Stefan Edelkamp has published extensively on search, serves as member on program committees (including recent editions of SARA, SOCS, ICAPS, ECAI, IJCAI, and AAAI) and on steering committees (including SPIN and MOCHART). He is member of the editorial board of JAIR and organizes international workshops, tutorials, and seminars in his area of expertise. In 2011 he will co-chair the ICAPS Conference as well as the German Conference on AI.

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Bibliographische Angaben

Autoren: Stefan Edelkamp , Stefan Schroedl
2011, 712 Seiten, Englisch
Verlag: Elsevier Science & Techn.
ISBN-10: 0080919731
ISBN-13: 9780080919737
Erscheinungsdatum: 31.05.2011

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Dateiformat: ePub
Größe: 16 MB
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Englisch

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Pressezitat

"Heuristic search lies at the core of Artificial Intelligence and it provides the foundations for many different approaches in problem solving. This book provides a comprehensive yet deep description of the main algorithms in the field along with a very complete discussion of their main applications. Very well-written, it embellishes every algorithm with pseudo-code and technical studies of their theoretical performance." Carlos Linares López, Universidad Carlos III de Madrid

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