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dc.contributor.authorSEBTI, Sarra-
dc.contributor.authorMEHIZEL, Sara Nour Elyakin-
dc.date.accessioned2022-11-21T10:31:12Z-
dc.date.available2022-11-21T10:31:12Z-
dc.date.issued2020-
dc.identifier.urihttp://dspace.univ-tiaret.dz:80/handle/123456789/5367-
dc.description.abstractSocial learning, which enables individuals to learn fromeach other, is a powerful mechanism in social animals, including humans, that doesn‘t differ much for artificial agents as they represent the replacements of humans. It could be difficult for these agents to communicate in an unknown environment for they don‘t perceive nor categorize the objects in the same way. The concept of Language-Naming games is a mechanism to allow agents to selforganize in order to develop a shared and common lexicon, so they have to coordinate and cooperate to name the encountered objects corehently and nonambiguously. To successfully communicate,agents must have access to the shared memory that contains perceptions and their assigned meaningsen_US
dc.language.isoenen_US
dc.publisherUniversité Ibn Khaldoun -Tiaret-en_US
dc.subjectArtificial agents, communication, cooperation, percision, categorization, language games, naming games, common lexicon, meanings, perceptionsen_US
dc.titleLes Systèmes Multi-Robot coopératifs : Développement d‘un lexique de communication.en_US
dc.typeThesisen_US
Collection(s) :Master

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