Artificial Intelligence for Advanced Problem Solving Techniques
| AUTHOR | Vrakas, Dimitris; Vlahavas, Ioannis; Vrakas, Dimitris |
| PUBLISHER | Information Science Reference (02/01/2008) |
| PRODUCT TYPE | Hardcover (Hardcover) |
Description
One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.
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Product Format
Product Details
ISBN-13:
9781599047058
ISBN-10:
1599047055
Binding:
Hardback or Cased Book (Unsewn / Adhesive Bound)
Content Language:
English
More Product Details
Page Count:
390
Carton Quantity:
10
Product Dimensions:
8.59 x 1.15 x 11.21 inches
Weight:
3.04 pound(s)
Feature Codes:
Bibliography,
Index,
Table of Contents,
Illustrated
Country of Origin:
US
Subject Information
BISAC Categories
Computers | Artificial Intelligence - Expert Systems
Computers | Artificial Intelligence - General
Computers | Business & Productivity Software - General
Dewey Decimal:
006.333
Library of Congress Control Number:
2007032031
Descriptions, Reviews, Etc.
publisher marketing
One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.
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Author:
Vrakas, Dimitris
Dimitris Vrakas is finishing his PhD in Distributed Planning and Scheduling at the Dept of Informatics of the Aristotle University of Thessaloniki. He has published several articles and presented various papers on important aspects of Automated Planning such as Learning aided Planning Systems. He is a member of the American Association for Artificial Intelligence, the Association of Greek Informaticians and the Hellenic Society for Artificial Intelligence.
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List Price $180.00
Your Price
$178.20