This paper presents a multiagent model that facilitates aspects of shopping mall management, as well as increasing the quality of leisure facilities and shopping on offer. The work presented focuses on the use of a multi agent architecture, based on the use of deliberative agents that incorporates case-based planning. The architecture considers a dynamic framework, and the need to use autonomous models that are able to evolve over time. The architecture incorporates agents whose aim is to acquire knowledge and adapt themselves to the environmental changes. The system has been tested successfully, and the results obtained are presented in this paper. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Bajo, J., De Paz, Y., De Paz, J. F., Martin, Q., & Corchado, J. M. (2006). SMas: A shopping mall multiagent systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4224 LNCS, pp. 1166–1173). Springer Verlag. https://doi.org/10.1007/11875581_138
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