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Understanding Planning Tasks : Domain Complexity and Heuristic Decomposition / by Malte Helmert.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Author/Creator:
Helmert, Malte, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence ; 4929.
Lecture Notes in Artificial Intelligence ; 4929
Language:
English
Subjects (All):
Artificial intelligence.
Algorithms.
Computers.
Mathematical statistics.
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Computation by Abstract Devices.
Probability and Statistics in Computer Science.
Local Subjects:
Artificial Intelligence.
Algorithm Analysis and Problem Complexity.
Computation by Abstract Devices.
Probability and Statistics in Computer Science.
Physical Description:
1 online resource (XIV, 270 pages).
Edition:
First edition 2008.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
System Details:
text file PDF
Summary:
Action planning has always played a central role in Artificial Intelligence. Given a description of the current situation, a description of possible actions and a description of the goals to be achieved, the task is to identify a sequence of actions, id est, a plan that transforms the current situation into one that satisfies the goal description. This monograph is a revised version of Malte Helmert's doctoral thesis, Solving Planning Tasks in Theory and Practice, written under the supervision of Professor Bernhard Nebel as thesis advisor at Albert-Ludwigs-Universität Freiburg, Germany, in 2006. The book contains an exhaustive analysis of the computational complexity of the benchmark problems that have been used in the past decade, namely the standard benchmark domains of the International Planning Competitions (IPC). At the same time, it contributes to the practice of solving planning tasks by presenting a powerful new approach to heuristic planning. The author also provides an in-depth analysis of so-called routing and transportation problems. All in all, this book will contribute significantly to advancing the state of the art in automatic planning.
Contents:
Planning Benchmarks
The Role of Benchmarks
Defining Planning Domains
The Benchmark Suite
Transportation and Route Planning
IPC Domains: Transportation and Route Planning
IPC Domains: Others
Conclusions
Fast Downward
Solving Planning Tasks Hierarchically
Translation
Knowledge Compilation
Search
Experiments
Discussion.
Other Format:
Printed edition:
ISBN:
978-3-540-77723-6
9783540777236
Access Restriction:
Restricted for use by site license.

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