A language for the execution of graded BDI agents
We are interested in the specification and deployment of multi-agent systems, and particularly we focus on the execution of agents. Along this research line, we have proposed a general model for graded BDI agents, specifying an architecture based on multi-context systems (MCSs) and able to deal with...
| Autores: | , , |
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| Formato: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2013 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/132432 |
| Acesso em linha: | http://hdl.handle.net/10261/132432 |
| Access Level: | acceso abierto |
| Palavra-chave: | Multi-context systems BDI agents Ambient calculus Operational semantics |
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A language for the execution of graded BDI agentsCasali, AnaGodo, LluisSierra, CarlesMulti-context systemsBDI agentsAmbient calculusOperational semanticsWe are interested in the specification and deployment of multi-agent systems, and particularly we focus on the execution of agents. Along this research line, we have proposed a general model for graded BDI agents, specifying an architecture based on multi-context systems (MCSs) and able to deal with the environment uncertainty (via graded beliefs) and with graded mental proactive attitudes (via desires and intentions). These graded attitudes are represented using appropriate fuzzy modal logics. In this article, we cope with the operational semantics of this agent model. We present a Multi-context calculus, based on Ambient calculus, for the execution of MCSs with its corresponding semantics. This calculus is general enough to support different kinds of MCSs and particularly, we show how a graded BDI agent can be mapped into the language of the calculus. © The Author 2011. Published by Oxford University Press. All rights reserved.The authors are thankful to the anonymous reviewers for their helpful comments for improving the paper. Ana Casali acknowledge partial support by the PID-UNR ING308 project. Llus Godo and Carles Sierra acknowledge partial support by the Spanish project Agreement Technologies (CONSOLIDER CSD2007-0022, INGENIO 2010).Peer ReviewedOxford University PressMinisterio de Economía y Competitividad (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2016201620132016info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/132432reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1324322026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
A language for the execution of graded BDI agents |
| title |
A language for the execution of graded BDI agents |
| spellingShingle |
A language for the execution of graded BDI agents Casali, Ana Multi-context systems BDI agents Ambient calculus Operational semantics |
| title_short |
A language for the execution of graded BDI agents |
| title_full |
A language for the execution of graded BDI agents |
| title_fullStr |
A language for the execution of graded BDI agents |
| title_full_unstemmed |
A language for the execution of graded BDI agents |
| title_sort |
A language for the execution of graded BDI agents |
| dc.creator.none.fl_str_mv |
Casali, Ana Godo, Lluis Sierra, Carles |
| author |
Casali, Ana |
| author_facet |
Casali, Ana Godo, Lluis Sierra, Carles |
| author_role |
author |
| author2 |
Godo, Lluis Sierra, Carles |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Ministerio de Economía y Competitividad (España) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Multi-context systems BDI agents Ambient calculus Operational semantics |
| topic |
Multi-context systems BDI agents Ambient calculus Operational semantics |
| description |
We are interested in the specification and deployment of multi-agent systems, and particularly we focus on the execution of agents. Along this research line, we have proposed a general model for graded BDI agents, specifying an architecture based on multi-context systems (MCSs) and able to deal with the environment uncertainty (via graded beliefs) and with graded mental proactive attitudes (via desires and intentions). These graded attitudes are represented using appropriate fuzzy modal logics. In this article, we cope with the operational semantics of this agent model. We present a Multi-context calculus, based on Ambient calculus, for the execution of MCSs with its corresponding semantics. This calculus is general enough to support different kinds of MCSs and particularly, we show how a graded BDI agent can be mapped into the language of the calculus. © The Author 2011. Published by Oxford University Press. All rights reserved. |
| publishDate |
2013 |
| dc.date.none.fl_str_mv |
2013 2016 2016 2016 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Postprint info:eu-repo/semantics/acceptedVersion |
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article |
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acceptedVersion |
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http://hdl.handle.net/10261/132432 |
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http://hdl.handle.net/10261/132432 |
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Inglés |
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Inglés |
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Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Oxford University Press |
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Oxford University Press |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869420070624559104 |
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15,811543 |