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Applicability conditions for plans with loops: Computability results and algorithms

Applicability conditions for plans with loops: Computability results and algorithms

Authors :
Srivastava, Siddharth
Immerman, Neil
Zilberstein, Shlomo
Source :
Artificial Intelligence. Nov2012, Vol. 191-192, p1-19. 19p.
Publication Year :
2012

Abstract

Abstract: The utility of including loops in plans has been long recognized by the planning community. Loops in a plan help increase both its applicability and the compactness of its representation. However, progress in finding such plans has been limited largely due to lack of methods for reasoning about the correctness and safety properties of loops of actions. We present novel algorithms for determining the applicability and progress made by a general class of loops of actions. These methods can be used for directing the search for plans with loops towards greater applicability while guaranteeing termination, as well as in post-processing of computed plans to precisely characterize their applicability. Experimental results demonstrate the efficiency of these algorithms. We also discuss the factors which can make the problem of determining applicability conditions for plans with loops incomputable. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
00043702
Volume :
191-192
Database :
Academic Search Index
Journal :
Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
82477384
Full Text :
https://doi.org/10.1016/j.artint.2012.07.005