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-Universitat 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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