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| Natura: | Artículo científico |
| Lingua: | en |
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Asociación Española para la Inteligencia Artificial
2005
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| Accesso online: | https://www.redalyc.org/articulo.oa?id=92592504 |
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| _version_ | 1866587863566516224 |
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| author | Renato Levy |
| author_facet | Renato Levy |
| contents | Towards clarifying the importance of interactions in Agent-Oriented Software Engineering Renato Levy Joaquín Peña Rafael Corchuelo Ingeniería interaction taxonomy organizational modeling Complex MultiAgent Systems Interactions between subparts of a system have been recognized as the source of complexity in many fieldsranging from physics, sociology, neurology, to software engineering. Agent-Oriented Software Engineering(AOSE) was born under the promise of conquering complexity and enabling the development of more complexsoftware. However, current AOSE approaches do not provide enough engineering tools to deal with thecomplexity derived from interactions. More mature fields such as economy or component-based softwaresystems have recognized that interactions present a predominant role in the determination of the desiredoutcome providing mature background that can be applied to AOSE.AOSE may improve its ability to deal with complex systems by improving the tools applied to manageagents interactions in the overall design of the system. In this paper, we justify this assessment and proposesome principles to improve AOSE methodologies regarding complexity 2005 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92592504 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_92592504 |
| language | en |
| publishDate | 2005 |
| publisher | Asociación Española para la Inteligencia Artificial |
| spellingShingle | Towards clarifying the importance of interactions in Agent-Oriented Software Engineering Renato Levy Ingeniería interaction taxonomy organizational modeling Complex MultiAgent Systems Towards clarifying the importance of interactions in Agent-Oriented Software Engineering Renato Levy Joaquín Peña Rafael Corchuelo Ingeniería interaction taxonomy organizational modeling Complex MultiAgent Systems Interactions between subparts of a system have been recognized as the source of complexity in many fieldsranging from physics, sociology, neurology, to software engineering. Agent-Oriented Software Engineering(AOSE) was born under the promise of conquering complexity and enabling the development of more complexsoftware. However, current AOSE approaches do not provide enough engineering tools to deal with thecomplexity derived from interactions. More mature fields such as economy or component-based softwaresystems have recognized that interactions present a predominant role in the determination of the desiredoutcome providing mature background that can be applied to AOSE.AOSE may improve its ability to deal with complex systems by improving the tools applied to manageagents interactions in the overall design of the system. In this paper, we justify this assessment and proposesome principles to improve AOSE methodologies regarding complexity 2005 artículo científico 1137-3601 https://www.redalyc.org/articulo.oa?id=92592504 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 | Towards clarifying the importance of interactions in Agent-Oriented Software Engineering |
| topic | Ingeniería interaction taxonomy organizational modeling Complex MultiAgent Systems |
| url | https://www.redalyc.org/articulo.oa?id=92592504 |