Work

Learning constraints through partial queries

Year: 2023

Type: article

Source: Artificial Intelligence

DOI: 10.1016/j.artint.2023.103896

Authors: Christian Bessiere, Clément Carbonnel, Anton Dries, Emmanuel Hebrard, George Katsirelos, Nadjib Lazaar, Nina Narodytska, Claude-Guy Quimper, Kostas Stergiou, Dimosthenis C. Tsouros, Toby Walsh

Institutions: Centre National de la Recherche Scientifique, Université de Montpellier, Nokia (Belgium), Laboratoire d'Analyse et d'Architecture des Systèmes, AgroParisTech, Université Paris-Saclay, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, Mathématiques et Informatique Appliquées, VMware (United States), Université Laval, University of Western Macedonia, KU Leuven, Commonwealth Scientific and Industrial Research Organisation, UNSW Sydney, Data61

Language: English

Topic: Constraint Satisfaction and Optimization

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: European Commission, Agence Nationale de la Recherche, HORIZON EUROPE Framework Programme

Awards: Artificial and Natural Intelligence Toulouse Institute, G3010527862, G3879958799, G602161992, Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization

OpenAlex ID: W4322761990

FWCI: 1.219

Cites: 45

Cited by: 11

Related to: 10