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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
94 Chapter 5 Plan-Space Planning
a
move(r1,l3,l1)
move(r1,l1,l2) put(k1,c1,p2,l2)
unload(k1,c1,r1)
take(k1,c1,p1,l1)
load(k1,c1,r1,l1)
a
0
Figure 5.5 A solution plan.
flexibility introduced allows us to handle partially instantiated goals. Recall that
variables in a goal are existentially quantified. For example, any state in which there
is a container c in the pile p2 meets a goal such as in(c, p2) (see Exercise 5.4).
5.4 Algorithms for Plan-Space Planning
This section presents search procedures in the plan space. We first introduce
a generic schema for planning in the plan space that clarifies the main ingredi-
ents of flaws and resolvers for flaws. We then
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Publisher Resources

ISBN: 9781558608566