Control de sistemas multiagente y sus aplicaciones
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2024
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Encontrar el máximo de cualquier distribución en el mundo físico es un problema de gran interés hoy en día. Desde encontrar fugas de petróleo en el océano a fuentes de radiación en zonas conta- minadas. Es muy valioso entender estos comportamientos desde el punto de vista de los sistemas multiagente. Para ello es necesario medir un número suficiente de puntos, eligiéndolos estratégica- mente de la mejor manera posible para lograr la mayor eficiencia. Medir con suficiente precisión magnitudes en un terreno impredecible se puede resolver mediante el uso de un enjambre de agentes simples y con una capacidad de movimiento y comunicación muy limitada, contando con un alto número de ellos como ventaja. Además, pueden ser muy pequeños y capaces de comunicarse local- mente en entornos donde es difícil la comunicación a larga distancia, consiguiendo a pesar de ello un comportamiento global organizado y eficiente.
Finding the maximum of any distribution in the physical world is a problem of great interest nowadays. From detecting oil leaks in the ocean to identifying sources of radiation in contaminated areas, understanding these behaviors from a multi-agent systems perspective is highly valuable. Achieving this requires measuring a sufficient number of points, strategically selected to maximize efficiency. Precisely measuring magnitudes in unpredictable terrain can be addressed by employing a swarm of agents, simple in design with limited movement and communication capabilities, yet advantageous in their high numbers. Furthermore, these agents can be small and capable of local communication in environments where long-distance communication is challenging, still achieving organized and efficient global behavior.
Finding the maximum of any distribution in the physical world is a problem of great interest nowadays. From detecting oil leaks in the ocean to identifying sources of radiation in contaminated areas, understanding these behaviors from a multi-agent systems perspective is highly valuable. Achieving this requires measuring a sufficient number of points, strategically selected to maximize efficiency. Precisely measuring magnitudes in unpredictable terrain can be addressed by employing a swarm of agents, simple in design with limited movement and communication capabilities, yet advantageous in their high numbers. Furthermore, these agents can be small and capable of local communication in environments where long-distance communication is challenging, still achieving organized and efficient global behavior.