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Automated Planning
book

Automated Planning

by Malik Ghallab, Dana Nau, Paolo Traverso
May 2004
Intermediate to advanced content levelIntermediate to advanced
635 pages
19h 46m
English
Morgan Kaufmann
Content preview from Automated Planning
Chapter
18
Uncertainty with
Neoclassical Techniques
18.1 Introduction
In Chapters 16 and 17, we discussed two approaches devised to solve the problem
of planning under uncertainty: planning based on Markov Decision Processes and
planning based on model checking. In addition, some approaches originally devised
for classical planning problems have been extended to deal with some form of
uncertainty. Some of them are based on plan-space planning, state-space planning,
planning-graph techniques, and planning as satisfiability.
In this chapter, we focus on extensions to two neoclassical techniques, planning
as satisfiability (Section 18.2) and planning-graph techniques (Section 18.3), while
other approaches are mentioned in Section 18.4. We limit our discussion ...
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Publisher Resources

ISBN: 9781558608566