Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4929)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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About this book
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, i.e., 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.
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Bibliographic Information
Book Title: Understanding Planning Tasks
Book Subtitle: Domain Complexity and Heuristic Decomposition
Authors: Malte Helmert
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-540-77723-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Softcover ISBN: 978-3-540-77722-9Published: 24 January 2008
eBook ISBN: 978-3-540-77723-6Published: 23 January 2008
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIV, 270
Topics: Artificial Intelligence, Algorithm Analysis and Problem Complexity, Computation by Abstract Devices, Probability and Statistics in Computer Science