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Descripción
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| Game theory principle allows to developing stochastic multi-robot patrolling models to protect critical infrastructures. To date, literature works have been solved the multi-robot patrolling problem applying various mathematical principles.Those works represent great advances in this field. However, they are unfeasible for security applications due to their centralized and predictable nature. This project presents five patrolling models based on learning models derived from Game Theory. Experimental results show that the models developed in this work improve previous ones in as many as 80% of 150 cases of study. Moreover, these models rely on several features to highlight in security applications such as distribution, robustness, scalability, and dynamism. | |
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Internacional
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Si |
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ISBN
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Tipo de Tesis
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Doctoral |
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Calificación
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Sobresaliente cum laude |
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Fecha
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