SHOMAS: Intelligent guidance and suggestions in shopping centres

被引：26

作者：

Bajo, Javier ^{[2
]}

Corchado, Juan M. ^{[2
]}

De Paz, Yanira ^{[2
]}

De Paz, Juan F. ^{[2
]}

Rodriguez, Sara ^{[2
]}

Martin, Quintin ^{[2
]}

Abraham, Ajith ^{[2
,1
]}

机构：

[1] Norwegian Univ Sci & Technol, Ctr Excellence Quantifiable Qual Serv, N-7034 Trondheim, Norway

[2] Univ Salamanca, Dept Informat & Automat, E-37008 Salamanca, Spain

来源：

APPLIED SOFT COMPUTING | 2009年 / 9卷 / 02期

关键词：

Multiagent system; Case-based reasoning; RFID; Shopping multiagent system (SHOMAS); FUZZY AGENT; REQUIREMENTS;

D O I：

10.1016/j.asoc.2008.11.009

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces the SHOMAS Multiagent System that provides guidance on leisure facilities and suggestions for shopping in malls. The multiagent architecture incorporates reactive and deliberative agents that take decisions automatically. The developed deliberative agent provides suggestions in execution time, with the help of case-based planners. This agent is described together with its guidance and suggestion mechanism. SHOMAS has been tested successfully, and the results obtained are presented in this paper. (C) 2008 Elsevier B. V. All rights reserved.

引用

页码：851 / 862

页数：12

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