Conjure: Automatic Generation of Constraint Models from Problem Specifications-Reference-Cited by-同舟云学术

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Conjure: Automatic Generation of Constraint Models from Problem Specifications

Published:2022-09 Issue: Volume:310 Page:103751
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Akgün Özgür^ORCID,Frisch Alan M.,Gent Ian P.,Jefferson Christopher,Miguel Ian,Nightingale Peter^ORCID

Funder

Engineering and Physical Sciences Research Council

Royal Society

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference141 articles.

1. Handbook of Constraint Programming;Rossi,2006

2. Progress towards the holy grail;Freuder;Constraints,2018

3. Constraint detection in natural language problem descriptions;Kiziltan,2016

4. Learning constraints from examples;De Raedt,2018

5. Constraint acquisition;Bessiere;Artif. Intell.,2017

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Graph Transformation-Based Engine for the Automated Exploration of Constraint Models;Lecture Notes in Computer Science;2024

2. Towards optimisers that `Keep Learning';Proceedings of the Companion Conference on Genetic and Evolutionary Computation;2023-07-15

3. Automated streamliner portfolios for constraint satisfaction problems;Artificial Intelligence;2023-06

4. Lifted Reasoning for Combinatorial Counting;Journal of Artificial Intelligence Research;2023-01-05

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