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
"synopsis" may belong to another edition of this title.
"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--Carlos Linares López, Universidad Carlos III de Madrid About the Author:
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.
Stefan Schroedl is a researcher and software developer in the areas of artifical intelligence and machine learning. He worked as a freelance software developer for different companies in Germany and Switzerland, among others, designing and realizing a route finding systems for a leading commercial product in Switzerland. At DaimlerChrylser Research, he continued to work on automated generation and search of route maps based on global positioning traces. Stefan Schroedl later joined Yahoo! Labs to develop auction algorithms, relevance prediction and user personalization systems for web search advertising. In his current position at A9.com, he strives to improve Amazon.com's product search using machine-learned ranking models. He has published on route finding algorithms, memory-limited and external-memory search, as well as on search for solving DNA sequence alignment problems. Stefan Schroedl hold a Ph.D. for his dissertation "Negation as Failure in Explanation- Based Generalization", and a M.S degree for his thesis "Coupling Numerical and Symbolic Methods in the Analysis of Neurophysiological Experiments".
"About this title" may belong to another edition of this title.
Book Description Book Condition: New. Brand New Book In Mint Condition. Shipping With Trackable Method. No APO/FPO Addresses Please. Bookseller Inventory # 9780123725127NHS
Book Description Book Condition: New. New. US edition. Perfect condition. Ship by express service to USA, Canada, Australia, France, Italy, UK, Germany and Netherland. Customer satisfaction our priority. Bookseller Inventory # ABE-BOOK-15341
Book Description Book Condition: Brand New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!. Bookseller Inventory # AIND-70517
Book Description Book Condition: Brand New. New. US edition. Customer Satisfaction guaranteed!!. Bookseller Inventory # SHUB15341
Book Description Book Condition: New. New. US edition. Perfect condition. Ship by express service to USA, Canada, Australia, France, Italy, UK, Germany and Netherland. Customer satisfaction our priority. Bookseller Inventory # ABE-FEB-15341
Book Description Book Condition: New. Brand New Original US Edition.We Ship to PO BOX Address also. EXPEDITED shipping option also available for faster delivery. Bookseller Inventory # AUSBNEW-70517
Book Description Book Condition: Brand New. New, US edition. Excellent Customer Service. Bookseller Inventory # ABEUSA-15341
Book Description Morgan Kaufmann, 2011. Hardback. Book Condition: NEW. 9780123725127 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Bookseller Inventory # HTANDREE0891687
Book Description Morgan Kaufmann, 2011. Hardback. Book Condition: NEW. 9780123725127 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Bookseller Inventory # HTANDREE01195962
Book Description Morgan Kaufmann, 2017. Hardcover. Book Condition: New. This item is printed on demand. Bookseller Inventory # P110123725127