Reactive mobility by failure
- Autores
- Zunino, Alejandro
- Año de publicación
- 2003
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Mobile agent development is mainly supported by Java-based platforms. However, the weak mobility model they use, added to the inherent complexity of building location-aware software, impose strong limitations for developing mobile agents. In this article we present MoviLog, a platform for building Prolog-based mobile agents with a strong mobility model. The major contribution of MoviLog is its Reactive Mobility by Failure (RMF) mechanism. MRF is a mechanism that acts when an agent needs a resource that is not available at the current executing site. RMF uses a distributed multi-agent system to transparently transport the executing agent to the site where the resource is available, thus reducing the development effort with respect of traditional platforms, while maintaining its advantages
Eje: Inteligencia artificial
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
Reactive Mobility
Failure
ARTIFICIAL INTELLIGENCE
Intelligent agents - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
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- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/21455
Ver los metadatos del registro completo
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Reactive mobility by failureZunino, AlejandroCiencias InformáticasReactive MobilityFailureARTIFICIAL INTELLIGENCEIntelligent agentsMobile agent development is mainly supported by Java-based platforms. However, the weak mobility model they use, added to the inherent complexity of building location-aware software, impose strong limitations for developing mobile agents. In this article we present MoviLog, a platform for building Prolog-based mobile agents with a strong mobility model. The major contribution of MoviLog is its Reactive Mobility by Failure (RMF) mechanism. MRF is a mechanism that acts when an agent needs a resource that is not available at the current executing site. RMF uses a distributed multi-agent system to transparently transport the executing agent to the site where the resource is available, thus reducing the development effort with respect of traditional platforms, while maintaining its advantagesEje: Inteligencia artificialRed de Universidades con Carreras en Informática (RedUNCI)2003-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf440-444http://sedici.unlp.edu.ar/handle/10915/21455enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:54:38Zoai:sedici.unlp.edu.ar:10915/21455Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:54:38.387SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Reactive mobility by failure |
| title |
Reactive mobility by failure |
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Reactive mobility by failure Zunino, Alejandro Ciencias Informáticas Reactive Mobility Failure ARTIFICIAL INTELLIGENCE Intelligent agents |
| title_short |
Reactive mobility by failure |
| title_full |
Reactive mobility by failure |
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Reactive mobility by failure |
| title_full_unstemmed |
Reactive mobility by failure |
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Reactive mobility by failure |
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Zunino, Alejandro |
| author |
Zunino, Alejandro |
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Zunino, Alejandro |
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author |
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Ciencias Informáticas Reactive Mobility Failure ARTIFICIAL INTELLIGENCE Intelligent agents |
| topic |
Ciencias Informáticas Reactive Mobility Failure ARTIFICIAL INTELLIGENCE Intelligent agents |
| dc.description.none.fl_txt_mv |
Mobile agent development is mainly supported by Java-based platforms. However, the weak mobility model they use, added to the inherent complexity of building location-aware software, impose strong limitations for developing mobile agents. In this article we present MoviLog, a platform for building Prolog-based mobile agents with a strong mobility model. The major contribution of MoviLog is its Reactive Mobility by Failure (RMF) mechanism. MRF is a mechanism that acts when an agent needs a resource that is not available at the current executing site. RMF uses a distributed multi-agent system to transparently transport the executing agent to the site where the resource is available, thus reducing the development effort with respect of traditional platforms, while maintaining its advantages Eje: Inteligencia artificial Red de Universidades con Carreras en Informática (RedUNCI) |
| description |
Mobile agent development is mainly supported by Java-based platforms. However, the weak mobility model they use, added to the inherent complexity of building location-aware software, impose strong limitations for developing mobile agents. In this article we present MoviLog, a platform for building Prolog-based mobile agents with a strong mobility model. The major contribution of MoviLog is its Reactive Mobility by Failure (RMF) mechanism. MRF is a mechanism that acts when an agent needs a resource that is not available at the current executing site. RMF uses a distributed multi-agent system to transparently transport the executing agent to the site where the resource is available, thus reducing the development effort with respect of traditional platforms, while maintaining its advantages |
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2003 |
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2003-05 |
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eng |
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