This paper presents the THOMAS architecture, specially designed to model open multi-agent systems, and its application in the development of a multi-agent system for managing and planning surveillance routes for security personnel. THOMAS uses agents with reasoning and planning capabilities. These agents can perform a dynamic self-organization when they detect changes in the environment. THOMAS is appropriate for developing systems in highly dynamic environments similar to the one presented in this study, as demonstrated by the results obtained after having applied the system to a case study.
Publié le : 2012-11-22
Classification:  Open multi-agent systems, dynamic self-organization, planning,  68T42, 68T05, 68M14, 62, 68, 68T01, 68T20, 68T30, 68U01
@article{cai1189,
     author = {Sara Rodr\'\i guez; Departamento Inform\'atica y Autom\'atica, Universidad de Salamanca and Dante. I. Tapia; Departamento Inform\'atica y Autom\'atica and Juan F. de Paz; Departamento Inform\'atica y Autom\'atica and Javier Bajo; Departamento Inform\'atica y Autom\'atica and Juan M. Corchado; Departamento Inform\'atica y Autom\'atica, Universidad de Salamanca and Ajith Abraham; Machine Intelligence Reseach Labs, Scientific Network for Innovation and Research Excellence},
     title = {Self-Organizing Multi-Agent System for Management and Planning Surveillance Routes},
     journal = {Computing and Informatics},
     volume = {28},
     number = {1},
     year = {2012},
     language = {en},
     url = {http://dml.mathdoc.fr/item/cai1189}
}
Sara Rodríguez; Departamento Informática y Automática, Universidad de Salamanca; Dante. I. Tapia; Departamento Informática y Automática; Juan F. de Paz; Departamento Informática y Automática; Javier Bajo; Departamento Informática y Automática; Juan M. Corchado; Departamento Informática y Automática, Universidad de Salamanca; Ajith Abraham; Machine Intelligence Reseach Labs, Scientific Network for Innovation and Research Excellence. Self-Organizing Multi-Agent System for Management and Planning Surveillance Routes. Computing and Informatics, Tome 28 (2012) no. 1, . http://gdmltest.u-ga.fr/item/cai1189/