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| Formato: | Artículo científico |
| Lenguaje: | en |
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Asociación Española para la Inteligencia Artificial
2012
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| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=92524944002 |
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| _version_ | 1866817319480590336 |
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| author | Luciano H. Tamargo |
| author_facet | Luciano H. Tamargo |
| contents | Selective revision with multiple informants and argumentative support Luciano H. Tamargo Alejandro J. García Matthias Thimm Patrick Krümpelmann Ingeniería Multi agent System Argumentation Belief Revision We consider the problem of belief revision in a multi-agent system with information stemming from di erent agents with di erent degrees of credibility. In this context an agent has to carefully choose which information is to be accepted for revision in order to avoid believing in faulty and untrustworthy information. We propose a revision process combining selective revision, deductive argumentation, and credibility information for the adequate handling of information in this complex scenario. New information is evaluated based on the credibility of the source in combination with all arguments favoring and opposing the new information. Theevaluation process determines which part of the new information is to be accepted for revision and thereupon incorporated into the belief base by an appropriate revision operator. We demonstrate the benets of our approach, investigate formal properties, and show that it outperforms the baseline approach without argumentation. 2012 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92524944002 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.50 Vol.15 |
| format | Artículo científico |
| id | redalyc_92524944002 |
| language | en |
| publishDate | 2012 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | Selective revision with multiple informants and argumentative support Luciano H. Tamargo Ingeniería Multi agent System Argumentation Belief Revision Selective revision with multiple informants and argumentative support Luciano H. Tamargo Alejandro J. García Matthias Thimm Patrick Krümpelmann Ingeniería Multi agent System Argumentation Belief Revision We consider the problem of belief revision in a multi-agent system with information stemming from di erent agents with di erent degrees of credibility. In this context an agent has to carefully choose which information is to be accepted for revision in order to avoid believing in faulty and untrustworthy information. We propose a revision process combining selective revision, deductive argumentation, and credibility information for the adequate handling of information in this complex scenario. New information is evaluated based on the credibility of the source in combination with all arguments favoring and opposing the new information. Theevaluation process determines which part of the new information is to be accepted for revision and thereupon incorporated into the belief base by an appropriate revision operator. We demonstrate the benets of our approach, investigate formal properties, and show that it outperforms the baseline approach without argumentation. 2012 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92524944002 en http://www.redalyc.org/revista.oa?id=925 Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial application/pdf Asociación Española para la Inteligencia Artificial Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial (España) Num.50 Vol.15 |
| title | Selective revision with multiple informants and argumentative support |
| topic | Ingeniería Multi agent System Argumentation Belief Revision |
| url | https://www.redalyc.org/articulo.oa?id=92524944002 |