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http://arxiv.org/abs/cs/060202...
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Article . 2006
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Article . 2006
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Part of book or chapter of book . 2005
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Explaining Constraint Programming

Authors: K.R. Apt (Krzysztof);

Explaining Constraint Programming

Abstract

We discuss here constraint programming (CP) by using a proof-theoretic perspective. To this end we identify three levels of abstraction. Each level sheds light on the essence of CP. In particular, the highest level allows us to bring CP closer to the computation as deduction paradigm. At the middle level we can explain various constraint propagation algorithms. Finally, at the lowest level we can address the issue of automatic generation and optimization of the constraint propagation algorithms.

15 pages, appeared in "Processes, Terms and Cycles: Steps on the Road to Infinity", (A. Middeldorp, V. van Oostrom, F. van Raamsdonk, R. de Vrijer, eds.), LNCS 3838, pp. 55-69. (2005)

Countries
Netherlands, Singapore, Singapore
Keywords

FOS: Computer and information sciences, Computer Science - Programming Languages, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, D.3.2, F.4.1, D.3.2; F.4.1, 004, Programming Languages (cs.PL)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green