THOMAS-MALL: A Multiagent System for Shopping and Guidance in Malls

Rodríguez González, Sara; Fernández Gil, Alberto; Julián Inglada, Vicente; Corchado Rodríguez, Juan Manuel; Ossowski, Sascha; Botti, Vicente

Título

THOMAS-MALL: A Multiagent System for Shopping and Guidance in Malls

Autor(es)

Rodríguez González, Sara

Fernández Gil, Alberto

Julián Inglada, Vicente

Corchado Rodríguez, Juan Manuel

Ossowski, Sascha

Botti, Vicente

Palabras clave

Computer Science

Fecha de publicación

2009-06

Editor

Springer Science + Business Media

Citación

Bio-Inspired Systems: Computational and Ambient Intelligence Lecture Notes in Computer Science. Lecture Notes in Computer Science. Volumen 5517, pp. 594-601.

Resumen

This article presents a case study in which the THOMAS architecture is applied in order to obtain a multi-agent system (MAS) that can provide recommendations and guidance in a shopping mall. THOMAS is made up of a group of related modules that are well-suited for developing systems in other highly volatile environments similar to a shopping mall. Because the development of this type of system is complex, it is essential to thoroughly analyze the intrinsic characteristics of typical environment applications, and to design all of the system components at a very high level of abstraction.

URI

https://hdl.handle.net/10366/134984

ISBN

978-3-642-02477-1 (Print) / 978-3-642-02478-8 (Online)

ISSN

0302-9743 (Print) / 1611-3349 (Online)

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