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A THOMAS based multi-agent system for recommendations and guidance in malls

  • Autores: Sara Rodríguez González Árbol académico, Alberto Fernández Gil Árbol académico, Vicente J. Julián Inglada Árbol académico, Juan Manuel Corchado Rodríguez Árbol académico, Sascha Ossowski Árbol académico, Vicente J. Botti Navarro Árbol académico
  • Localización: JoPha: Journal of Physical Agents, ISSN-e 1888-0258, Vol. 3, Nº. 2, 2009 (Ejemplar dedicado a: Special Session on Practical Applications of Agents and Multiagent Systems), págs. 21-26
  • Idioma: inglés
  • DOI: 10.14198/jopha.2009.3.2.05
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  • Resumen

    • This article presents a case study in which the THOMAS architecture is applied in order to obtain a multi-agent system (MAS) that can provide recommendations and guidance in a shopping mall. THOMAS is made up of a group of related modules that are well-suited for developing systems in other highly volatile environments similar to a shopping mall. Because the development of this type of system is complex, it is essential to thoroughly analyze the intrinsic characteristics of typical environment applications, and to design all of the system components at a very high level of abstraction.

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