Ponencia en Congreso: Discovering sensing capability in multi-agent systems
Fecha
2010
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Resumen
"What should be the sensing capabilities of agents in a Multi-Agent System be to solve a problem efficiently, quickly and economicly? This question often appears when trying to solve a problem using Multi-Agent Systems. This paper introduces a method to find these sensing capabilities in order to solve a given problem. To achieve this, the sensing capability of an agent is modeled by a parametrized function and then Genetic Algorithms are used to find the parameters’
values. The individual behavior of the agents are found with Reinforcement Learning."
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SISTEMAS MULTIAGENTES, ALGORITMOS GENETICOS, APRENDIZAJE POR REFUERZO