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Novidade na Emergência da Comunicação em Robôs Sociais

dc.contributor.advisorUrbano,Paulo Jorge Cunha Vaz Dias
dc.contributor.authorSantos,Filipe Gomes Marques dos
dc.contributor.institutionFaculdade de Ciências
dc.contributor.institutionDepartamento de Informática 
dc.date.accessioned2026-01-19T13:00:01Z
dc.date.available2026-01-19T13:00:01Z
dc.date.issued2025
dc.descriptionTese de Mestrado, Informática, 2025, Universidade de Lisboa, Faculdade de Ciências
dc.description.abstractCommunication is a fundamental mechanism for information exchange, playing a central role in problem solving and closely intertwined with evolutionary processes. In artificial intelligence, particularly within evolutionary computing and evolutionary robotics, communication has been shown to significantly enhance the performance of evolved models in tasks that require coordinated behaviour among multiple agents. Novelty-based evaluation is a relatively recent evolutionary metric which, by replacing traditional fitness functions, can mitigate premature convergence to local optima and reduce evolutionary stagnation in complex problem domains. In this work, we propose that incorporating both communication and novelty-driven methods into neuro-evolutionary models can substantially improve their performance, thereby contributing to advances in evolutionary algorithms and evolutionary robotics. To support this hypothesis, we analyse the impact of these approaches in multi-agent systems using the well-known predator–prey capture problem with social robots in one-dimensional and two-dimensional environments.en
dc.formatapplication/pdf
dc.identifier.tid204176093
dc.identifier.urihttp://hdl.handle.net/10400.5/116696
dc.language.isopor
dc.subjectNeural Evolution
dc.subjectReinforced Learning
dc.subjectArtificial Neural Networks
dc.subjectNovelty
dc.subjectCommunication
dc.titleNovidade na Emergência da Comunicação em Robôs Sociaispt
dc.typemaster thesis
dspace.entity.typePublication
rcaap.rightsopenAccess

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