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Eric Monfroy

Applied Artificial Intelligence: An International Journal 15(1), pp. 789-103
gennaio 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.

Special Issue: Coordination Models and Languages in AI

Riviste & collane

Pubblicazione

— autori/autrici

Eric Monfroy

— a cura di

Andrea Omicini, George A. Papadopoulos

— stato

pubblicato

— tipo

articolo su rivista

— data di pubblicazione

gennaio 2001

— rivista

Applied Artificial Intelligence: An International Journal

— volume

15

— numero

1

— pagine

789-103

URL

pagina originale  |  PDF originale

identificatori

— DOI

10.1080/08839510150204626

— print ISSN

0883-9514

— online ISSN

1087-6545

note

— nota

Special Issue: Coordination Models and Languages in AI

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