Modeling a mobile learning context data ontology (2017)
- Authors:
- USP affiliated authors: BRANDÃO, ANAROSA ALVES FRANCO - EP ; NASCIMENTO, ARTHUR HENRIQUE CASALS DO - EP
- Unidade: EP
- DOI: 10.1109/EDUNINE.2017.7918185
- Subjects: ONTOLOGIAS; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: IEEE World Engineering Education Conference (EDUNINE)
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CASALS, Arthur e BRANDÃO, Anarosa Alves Franco. Modeling a mobile learning context data ontology. 2017, Anais.. Santos: IEEE, 2017. Disponível em: https://doi.org/10.1109/EDUNINE.2017.7918185. Acesso em: 23 jan. 2026. -
APA
Casals, A., & Brandão, A. A. F. (2017). Modeling a mobile learning context data ontology. In Proceedings. Santos: IEEE. doi:10.1109/EDUNINE.2017.7918185 -
NLM
Casals A, Brandão AAF. Modeling a mobile learning context data ontology [Internet]. Proceedings. 2017 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/EDUNINE.2017.7918185 -
Vancouver
Casals A, Brandão AAF. Modeling a mobile learning context data ontology [Internet]. Proceedings. 2017 ;[citado 2026 jan. 23 ] Available from: https://doi.org/10.1109/EDUNINE.2017.7918185 - Fostering agent cooperation in AmI: a context-aware mechanism for dealing with multiple intentions
- Gestion d'intentions multiples pour agents ambiants coopératifs
- Exposing agents as web services in JADE
- Domain-specific trust for context-aware BDI agents: preliminary work
- Augmented agents: contextual perception and planning for BDI architectures
- Resource-dependent contextual planning in AmI
- Exposing agents as web services: a case study using JADE and SPADE
- Exposing agents as web services in JADE
- Engineering MAS: integrating distributed systems and advances in Artificial Intelligence
- Adaptive and collaborative agent-based traffic regulation using behavior trees
Informações sobre o DOI: 10.1109/EDUNINE.2017.7918185 (Fonte: oaDOI API)
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