Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40534
Title: Constrained decision diagrams
Authors: Cheng, K.C.K.
Yap, R.H.C. 
Issue Date: 2005
Source: Cheng, K.C.K.,Yap, R.H.C. (2005). Constrained decision diagrams. Proceedings of the National Conference on Artificial Intelligence 1 : 366-371. ScholarBank@NUS Repository.
Abstract: A general n-ary constraint is usually represented explicitly as a set of its solution tuples, which may need exponential space. In this paper, we introduce a new representation for general n-ary constraints called Constrained Decision Diagram (CDD). CDD generalizes BDD-style representations and the main feature is that it combines constraint reasoning/consistency techniques with a compact data structure. We present an application of CDD for recording all solutions of a conjunction of constraints. Instead of an explicit representation, we can implicitly encode the solutions by means of constraint propagation. Our experiments confirm the scalability and demonstrate that CDDs can drastically reduce the space needed over explicit and ZBDD representations. Copyright © 2005, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.
Source Title: Proceedings of the National Conference on Artificial Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/40534
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

59
checked on Dec 9, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.