Enhancing Sustainability of Complex ...
Type de document :
Communication dans un congrès avec actes
DOI :
Titre :
Enhancing Sustainability of Complex Epidemiological Models through a Generic Multilevel Agent-based Approach
Auteur(s) :
Picault, Sebastien [Auteur]
Systèmes Multi-Agents et Comportements [SMAC]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Huang, Yu-Lin [Auteur]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Sicard, Vianney [Auteur]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Ezanno, Pauline [Auteur]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Systèmes Multi-Agents et Comportements [SMAC]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Huang, Yu-Lin [Auteur]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Sicard, Vianney [Auteur]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Ezanno, Pauline [Auteur]
Biologie, Epidémiologie et analyse de risque en Santé Animale [BIOEPAR]
Éditeur(s) ou directeur(s) scientifique(s) :
Carles Sierra
Titre de la manifestation scientifique :
26th International Joint Conference on Artificial Intelligence (IJCAI'2017)
Ville :
Melbourne
Pays :
Australie
Date de début de la manifestation scientifique :
2017-08-19
Titre de la revue :
Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'2017)
Date de publication :
2017-08
Discipline(s) HAL :
Informatique [cs]/Système multi-agents [cs.MA]
Informatique [cs]/Modélisation et simulation
Informatique [cs]/Intelligence artificielle [cs.AI]
Sciences du Vivant [q-bio]
Informatique [cs]/Génie logiciel [cs.SE]
Informatique [cs]/Modélisation et simulation
Informatique [cs]/Intelligence artificielle [cs.AI]
Sciences du Vivant [q-bio]
Informatique [cs]/Génie logiciel [cs.SE]
Résumé en anglais : [en]
The development of computational sciences has fostered major advances in life sciences, but also led to reproducibility and reliability issues, which become a crucial stake when simulations are aimed at assessing control ...
Lire la suite >The development of computational sciences has fostered major advances in life sciences, but also led to reproducibility and reliability issues, which become a crucial stake when simulations are aimed at assessing control measures, as in epidemiology. A broad use of software development methods is a useful remediation to reduce those problems, but preventive approaches, targeting not only implementation but also model design, are essential to sustainable enhancements. Among them, AI techniques, based on the separation between declarative and procedural concerns, and on knowledge engineering, offer promising solutions. Especially, multilevel multi-agent systems, deeply rooted in that culture, provide a generic way to integrate several epidemiological modeling paradigms within a homogeneous interface. We explain in this paper how this approach is used for building more generic, reliable and sustainable simulations, illustrated by real-case applications in cattle epidemiology.Lire moins >
Lire la suite >The development of computational sciences has fostered major advances in life sciences, but also led to reproducibility and reliability issues, which become a crucial stake when simulations are aimed at assessing control measures, as in epidemiology. A broad use of software development methods is a useful remediation to reduce those problems, but preventive approaches, targeting not only implementation but also model design, are essential to sustainable enhancements. Among them, AI techniques, based on the separation between declarative and procedural concerns, and on knowledge engineering, offer promising solutions. Especially, multilevel multi-agent systems, deeply rooted in that culture, provide a generic way to integrate several epidemiological modeling paradigms within a homogeneous interface. We explain in this paper how this approach is used for building more generic, reliable and sustainable simulations, illustrated by real-case applications in cattle epidemiology.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Projet ANR :
Collections :
Source :
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