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Can I read Understanding Planning Tasks: Domain Complexity and Heuristic Decomposition (Lecture Notes in Computer Science, 4929) on EtoBox?

Understanding Planning Tasks: Domain Complexity and Heuristic Decomposition (Lecture Notes in Computer Science, 4929) by Malte Helmert (auth.) is a nonfiction available to read on EtoBox.

What is Understanding Planning Tasks: Domain Complexity and Heuristic Decomposition (Lecture Notes in Computer Science, 4929) about?

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.

Who reads Understanding Planning Tasks: Domain Complexity and Heuristic Decomposition (Lecture Notes in Computer Science, 4929)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Malte Helmert (auth.)
Publisher
Springer-Verlag Berlin Heidelberg
Published
2008
Language
EN
ISBN
9783540777229
Category
nonfiction
Subjects
Science, Mathematics, Economics

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