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

Authors:
S. Rodríguez;A. Fernández;V. Julián;J. M. Corchado;S. Ossowski;V. Botti
Affiliations:
Universidad de Salamanca,;Universidad Rey Juan Carlos de Madrid,;Universidad Politécnica de Valencia, Spain);Universidad de Salamanca,;Universidad Rey Juan Carlos de Madrid,;Universidad Politécnica de Valencia, Spain)
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Year:
2009

Citing 6
Cited 0

iGrocer: a ubiquitous and pervasive smart grocery shopping system

Proceedings of the 2003 ACM symposium on Applied computing
Fuzzy referral based cooperation in social networks of agents

AI Communications
Agent-oriented software engineering

The Knowledge Engineering Review
SHOMAS: Intelligent guidance and suggestions in shopping centres

Applied Soft Computing
Service oriented MAS: an open architecture

Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Organization oriented programming: from closed to open organizations

ESAW'06 Proceedings of the 7th international conference on Engineering societies in the agents world VII

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.