A Shopping Mall Multiagent System: Ambient Intelligence in Practice.

Abstract

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 casebased planning. The architecture considers a dynamic framework that facilitates user’s interactions. The architecture incorporates agents whose aim is to acquire knowledge and adapt themselves to the environmental changes, and to the client’s profile. These agents facilitate user’s tasks and provide a communication frame where users can exchange opinions. The system has been tested successfully, and the results obtained are presented in this paper.