Control-driven Constraint Propagation
- Manage
- Copy
- Actions
- Export
- Annotate
- Print Preview
Choose the export format from the list below:
- Office Formats (1)
-
Export as Portable Document Format (PDF) using Apache Formatting Objects Processor (FOP)
-
- Other Formats (1)
-
Export as HyperText Markup Language (HTML)
-
Eric Monfroy
Applied Artificial Intelligence: An International Journal 15(1), pages 789-103
January 2001
This article is concerned with two styles of programming: constraint programming and the one employed in coordination languages. A generic framework for constraint propagation is presented using coordination languages. More precisely, concern is with the realization of a control-driven coordination-based version of the generic iteration algorithm for compound domains of K. R. Apt. The goal is to describe constraint propagation as the coordination of cooperative agents, and thus, to provide a flexible, scalable, and generic framework for constraint propagation. Our framework overcomes inherent problems of the parallel and distributed algorithms of E. Monfroy and J.-H. Réty. Other benefits of this coordination based framework is that it does not require special modeling of CSPs and opens up ways for new constraint propagation strategies. |
Journals & Series
Publications / Personal
Publications / Views
Home
— clouds
tags | authors | editors | journals
— per year
2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014–1927
— per sort
in journal | in proc | chapters | books | edited | spec issues | editorials | entries | manuals | tech reps | phd th | others
— per status
online | in press | proof | camera-ready | revised | accepted | revision | submitted | draft | note
— services
ACM Digital Library | DBLP | IEEE Xplore | IRIS | PubMed | Google Scholar | Scopus | Semantic Scholar | Web of Science | DOI
Publication
— authors
Eric Monfroy
— editors
Andrea Omicini, George A. Papadopoulos
— status
published
— sort
article in journal
— publication date
January 2001
— journal
Applied Artificial Intelligence: An International Journal
— volume
15
— issue
1
— pages
789-103
URLs
identifiers
— DOI
— print ISSN
0883-9514
— online ISSN
1087-6545
notes
— note
Special Issue: Coordination Models and Languages in AI