Understanding planning tasks : domain complexity and heuristic decomposition / Malte Helmert.
By: Helmert, Malte
Contributor(s): Helmert, Malte. Solving planning tasks in theory and practiceMaterial type: TextSeries: SerienbezeichnungLNCS sublibrary: ; Lecture notes in computer science: 4929.; Lecture notes in computer science: Publisher: Berlin ; New York : Springer, ©2008Edition: 1st edDescription: 1 online resource (xiv, 270 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540777229; 3540777229; 9783540777236; 3540777237Subject(s): Artificial intelligence | Planning -- Mathematical models | Problem solving -- Mathematical models | Computer algorithms | Heuristic programming | Computer algorithms | Heuristic programming | Artificial intelligence | Planning -- Mathematical models | Problem solving -- Mathematical models | Informatique | Artificial intelligence | Computer algorithms | Heuristic programming | Planning -- Mathematical models | Problem solving -- Mathematical modelsGenre/Form: Electronic books. Additional physical formats: Print version:: Understanding planning tasks.DDC classification: 006.3 LOC classification: Q335 | .H444 2008Other classification: TP18 Online resources: Click here to access online
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Includes bibliographical references and index.
pt. 1. Planning benchmarks -- pt. 2. Fast downward.
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.