Discovering sensing capability in multi-agent systems

ponencia en congreso.page.titleprefix
Discovering sensing capability in multi-agent systems

dc.contributor.author	Parpaglione, María Cristina
dc.contributor.author	Santos, Juan Miguel
dc.date.accessioned	2022-06-02T19:20:44Z
dc.date.available	2022-06-02T19:20:44Z
dc.date.issued	2010
dc.description.abstract	"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."	en
dc.identifier.isbn	978-0-7695-4400-7
dc.identifier.uri	http://ri.itba.edu.ar/handle/123456789/3905
dc.language.iso	en	en
dc.subject	SISTEMAS MULTIAGENTES	es
dc.subject	ALGORITMOS GENETICOS	es
dc.subject	APRENDIZAJE POR REFUERZO	es
dc.title	Discovering sensing capability in multi-agent systems	en
dc.type	Ponencias en Congresos	es
dspace.entity.type	Ponencia en Congreso
itba.description.filiation	Fil: Parpaglione, María Cristina. Instituto Tecnológico de Buenos Aires; Argentina.
itba.description.filiation	Fil: Santos, Juan Miguel. Instituto Tecnológico de Buenos Aires; Argentina.