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Output details

11 - Computer Science and Informatics

University of York

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Output 63 of 139 in the submission
Output title

Extensible Automated Constraint Modelling

Type
E - Conference contribution
DOI
-
Name of conference/published proceedings
Proceedings of theTwenty-Fifth AAAI Conference on Artificial Intelligence
Volume number
-
Issue number
-
First page of article
4
ISSN of proceedings
-
Year of publication
2011
Number of additional authors
4
Additional information

<22>Reports the first-ever full implementation of a system

that automatically generates constraint models (i.e., sets of

constraints solvable by existing solvers) for problems. (Constraint

modelling was previously done only by humans, usually experts.)

Problems abstractly specified in the ESSENCE problem specification

language are refined to concrete models by the rule-based CONJURE

system described here. As the Introduction explicitly discusses,

the breakthrough was a new approach that enabled a complete

implementation of ESSENCE, whereas several prior approaches never came close.

The complete implementation facilitated a more extensive evaluation

that includes 32 problems and thousands of models. Conference acceptance rate: 24.8%.

Interdisciplinary
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Cross-referral requested
-
Research group
G - Artificial Intelligence
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-