SMas: A Shopping Mall Multiagent Systems
Fecha de publicación
Springer Science + Business Media
Intelligent Data Engineering and Automated Learning – IDEAL 2006 Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 4224, pp. 1166-1173.
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.
978-3-540-45485-4 (Print) / 978-3-540-45487-8 (Online)
0302-9743 (Print) / 1611-3349 (Online)
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