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Emergence in hybrid adaptive multi-agent systems

dc.contributor.advisorPiiroinen, Petri
dc.contributor.authorBurke, Richard
dc.date.accessioned2021-03-12T08:53:26Z
dc.date.available2021-03-12T08:53:26Z
dc.date.issued2021-03-10
dc.identifier.urihttp://hdl.handle.net/10379/16601
dc.description.abstractThis thesis investigates a number of hybrid adaptive strategies to drive multi-agent systems from initial states of disorder towards consensus or favourable configurations. The dynamics of the agents and their communicative links, represented by nonlinear ODEs, may be visualised as evolving networks. Numerical experiments supplement the mathematical models presented.en_IE
dc.publisherNUI Galway
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectMulti-agent systemsen_IE
dc.subjectconsensusen_IE
dc.subjectflockingen_IE
dc.subjectcomplex networksen_IE
dc.subjectMathematics, Statistics and Applied Mathematicsen_IE
dc.subjectMathematicsen_IE
dc.subjectApplied Mathematicsen_IE
dc.subjectScience and Engineeringen_IE
dc.titleEmergence in hybrid adaptive multi-agent systemsen_IE
dc.typeThesisen
dc.contributor.funderHardiman Research Scholarship, National University of Ireland Galwayen_IE
dc.local.noteMathematical models are presented to model an ensemble of agents communicating with one another and changing their relative positions in order to reach either agreement or some favourable flocking configuration. Analysis and experiments are performed to discover both the communicative and spacial relationships between the agents.en_IE
dc.local.finalYesen_IE
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland