Context independent properties in deliberation protocols

Autores
Stankevicius, Alejandro G.; García, Alejandro Javier
Año de publicación
2004
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Multiagent systems provide a natural, intuitive model for a wide array of real world problems, where possibly heterogeneous components strive towards a common goal. Under the multiagent approach, these components can be implemented as independent agents. This ample flexibility has swayed a number of developers into adopting this scheme when dealing with industrial scale problems. On many of these systems, one can observe an striking phenomenon: the system as a whole is able to reach objectives beyond the individual capabilities of its members. For instance, suppose there are two roommates, and depict a large desk heavy enough to make changing its location an impossible task for either of them. However, the desk can be easily moved if they agree to coordinate their effort. This simple example underscores the important role of the interaction among agents in these systems. This interaction, when conducted in an orderly fashion, increases the potential of the system as a whole.
Eje: Inteligencia artificial distribuida, aspectos teóricos de la inteligencia artificial y teoría de computación
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
context independent properties
deliberation protocols
ARTIFICIAL INTELLIGENCE
Protocol verification
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/21251
Acceder
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spelling Context independent properties in deliberation protocolsStankevicius, Alejandro G.García, Alejandro JavierCiencias Informáticascontext independent propertiesdeliberation protocolsARTIFICIAL INTELLIGENCEProtocol verificationMultiagent systems provide a natural, intuitive model for a wide array of real world problems, where possibly heterogeneous components strive towards a common goal. Under the multiagent approach, these components can be implemented as independent agents. This ample flexibility has swayed a number of developers into adopting this scheme when dealing with industrial scale problems. On many of these systems, one can observe an striking phenomenon: the system as a whole is able to reach objectives beyond the individual capabilities of its members. For instance, suppose there are two roommates, and depict a large desk heavy enough to make changing its location an impossible task for either of them. However, the desk can be easily moved if they agree to coordinate their effort. This simple example underscores the important role of the interaction among agents in these systems. This interaction, when conducted in an orderly fashion, increases the potential of the system as a whole.Eje: Inteligencia artificial distribuida, aspectos teóricos de la inteligencia artificial y teoría de computaciónRed de Universidades con Carreras en Informática (RedUNCI)2004-05info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf365-370http://sedici.unlp.edu.ar/handle/10915/21251enginfo: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:UNLP2025-10-15T10:47:10Zoai:sedici.unlp.edu.ar:10915/21251Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 10:47:10.8SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Context independent properties in deliberation protocols
title Context independent properties in deliberation protocols
spellingShingle Context independent properties in deliberation protocols
Stankevicius, Alejandro G.
Ciencias Informáticas
context independent properties
deliberation protocols
ARTIFICIAL INTELLIGENCE
Protocol verification
title_short Context independent properties in deliberation protocols
title_full Context independent properties in deliberation protocols
title_fullStr Context independent properties in deliberation protocols
title_full_unstemmed Context independent properties in deliberation protocols
title_sort Context independent properties in deliberation protocols
dc.creator.none.fl_str_mv Stankevicius, Alejandro G.
García, Alejandro Javier
author Stankevicius, Alejandro G.
author_facet Stankevicius, Alejandro G.
García, Alejandro Javier
author_role author
author2 García, Alejandro Javier
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
context independent properties
deliberation protocols
ARTIFICIAL INTELLIGENCE
Protocol verification
topic Ciencias Informáticas
context independent properties
deliberation protocols
ARTIFICIAL INTELLIGENCE
Protocol verification
dc.description.none.fl_txt_mv Multiagent systems provide a natural, intuitive model for a wide array of real world problems, where possibly heterogeneous components strive towards a common goal. Under the multiagent approach, these components can be implemented as independent agents. This ample flexibility has swayed a number of developers into adopting this scheme when dealing with industrial scale problems. On many of these systems, one can observe an striking phenomenon: the system as a whole is able to reach objectives beyond the individual capabilities of its members. For instance, suppose there are two roommates, and depict a large desk heavy enough to make changing its location an impossible task for either of them. However, the desk can be easily moved if they agree to coordinate their effort. This simple example underscores the important role of the interaction among agents in these systems. This interaction, when conducted in an orderly fashion, increases the potential of the system as a whole.
Eje: Inteligencia artificial distribuida, aspectos teóricos de la inteligencia artificial y teoría de computación
Red de Universidades con Carreras en Informática (RedUNCI)
description Multiagent systems provide a natural, intuitive model for a wide array of real world problems, where possibly heterogeneous components strive towards a common goal. Under the multiagent approach, these components can be implemented as independent agents. This ample flexibility has swayed a number of developers into adopting this scheme when dealing with industrial scale problems. On many of these systems, one can observe an striking phenomenon: the system as a whole is able to reach objectives beyond the individual capabilities of its members. For instance, suppose there are two roommates, and depict a large desk heavy enough to make changing its location an impossible task for either of them. However, the desk can be easily moved if they agree to coordinate their effort. This simple example underscores the important role of the interaction among agents in these systems. This interaction, when conducted in an orderly fashion, increases the potential of the system as a whole.
publishDate 2004
dc.date.none.fl_str_mv 2004-05
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dc.language.none.fl_str_mv eng
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dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
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