Parpaglione, María CristinaSantos, Juan Miguel2022-06-022022-06-022010978-0-7695-4400-7http://ri.itba.edu.ar/handle/123456789/3905"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."enSISTEMAS MULTIAGENTESALGORITMOS GENETICOSAPRENDIZAJE POR REFUERZOPonencias en Congresos