On learning intentionally
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Redalyc
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| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Asociación Española para la Inteligencia Artificial
2005
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| _version_ | 1876466136558600192 |
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| author | Henry Soldano |
| author_facet | Henry Soldano |
| contents | On learning intentionally Henry Soldano Alejandro Guerra Hernández Amal El Fallah Seghrouchni Ingeniería Learning BDI Agents Intentionality Multiagent Systems Practical Reasoning Any attempt to include learning competences in agent technologies, involves the problem of integratingsuch competences in the rationality of the agents. This work discusses the design of learning intentionalagents in a multiagent system (MAS). Learning intentionally means that these agents learn to adopt theirintentions under practical reasoning considerations, specified in terms of Beliefs, Desires, and Intentions(BDI). Specifically, they are intended to update the formula expressing when a plan is executable (contextof plans), if some failure is detected. At the MAS level, a form of distributed social learning, based oncollaborative goal adoption, is built around the concept of social awareness. Examples illustrate the roleof induction of logical decision trees, an inductive logic programming method, in the design of these BDIlearning agents 2005 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92592503 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.25 Vol.9 |
| format | Artículo científico |
| id | redalyc_92592503 |
| institution | Redalyc |
| language | en |
| publishDate | 2005 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | On learning intentionally Henry Soldano Ingeniería Learning BDI Agents Intentionality Multiagent Systems Practical Reasoning On learning intentionally Henry Soldano Alejandro Guerra Hernández Amal El Fallah Seghrouchni Ingeniería Learning BDI Agents Intentionality Multiagent Systems Practical Reasoning Any attempt to include learning competences in agent technologies, involves the problem of integratingsuch competences in the rationality of the agents. This work discusses the design of learning intentionalagents in a multiagent system (MAS). Learning intentionally means that these agents learn to adopt theirintentions under practical reasoning considerations, specified in terms of Beliefs, Desires, and Intentions(BDI). Specifically, they are intended to update the formula expressing when a plan is executable (contextof plans), if some failure is detected. At the MAS level, a form of distributed social learning, based oncollaborative goal adoption, is built around the concept of social awareness. Examples illustrate the roleof induction of logical decision trees, an inductive logic programming method, in the design of these BDIlearning agents 2005 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92592503 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.25 Vol.9 |
| title | On learning intentionally |
| topic | Ingeniería Learning BDI Agents Intentionality Multiagent Systems Practical Reasoning |
| url | https://www.redalyc.org/articulo.oa?id=92592503 |