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  1. Pubblicazioni

Automatically Decomposing Configuration Problems

Articolo
Data di Pubblicazione:
2003
Abstract:
Configuration was one of the first tasks successfully approached via AI techniques. However, solving configuration problems can be computationally expensive. In this work, we show that the decomposition of a configuration problem into a set of simpler and independent subproblems can decrease the computational cost of solving it. In particular, we describe a novel decomposition technique exploiting the compositional structure of complex objects and we show experimentally that such a decomposition can improve the efficiency of configurators.
Tipologia CRIS:
03A-Articolo su Rivista
Keywords:
Configuration; decomposition; constraints
Elenco autori:
L. ANSELMA; D. MAGRO; P. TORASSO
Autori di Ateneo:
ANSELMA Luca
MAGRO Diego
Link alla scheda completa:
https://iris.unito.it/handle/2318/10397
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
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URL

http://www.springerlink.com/content/k0pjc4732bep4egt/?p=69492e2ba122414e9b618f5b20eee45b&pi=31
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