| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 496820 | Applied Soft Computing | 2009 | 12 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Javier Bajo, Juan M. Corchado, Yanira De Paz, Juan F. De Paz, Sara Rodríguez, Quintín Martín, Ajith Abraham,