Using Multi-objective Optimization to Generate Timely Responsive BDI Agents

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dc.contributor.authorStabile Junior, Márcio Fernando
dc.creatorStabile Junior, Márcio Fernando
dc.date.accessioned2025-01-22T23:30:43Z
dc.date.available2025-01-22T23:30:43Z
dc.date.issued2022
dc.description.abstractA BDI agent’s ability to perform well depends on its reasoning time.If the reasoning is slow, it is possible that the environment has changed and the action selected is no longer optimal by the time the agent has finished to deliberate. This work then builds a BDI architecture using Anytime Algorithms that can control the amount of time used by the agent to reason and act on the environment. I briefly describe the proposed architecture and its implementation in the Jason agent language.en
dc.formatDigital
dc.format.extent2 p.
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/7261
dc.language.isoInglês
dc.subjectBDI agentsen
dc.subjectAnytime algorithmsen
dc.subjectMulti-objective optimizationen
dc.titleUsing Multi-objective Optimization to Generate Timely Responsive BDI Agents
dc.typeconference paper
dspace.entity.typePublication
local.description.eventAAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems
local.identifier.sourceUrihttps://www.ifaamas.org/Proceedings/aamas2022/
local.publisher.countryNova Zelândia
local.subject.cnpqCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
local.subject.cnpqCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
local.subject.cnpqENGENHARIAS::ENGENHARIA ELETRICA
local.subject.cnpqCIENCIAS EXATAS E DA TERRA::MATEMATICA::MATEMATICA APLICADA
local.subject.cnpqCIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO::ANALISE DE ALGORITMOS E COMPLEXIDADE DE COMPUTACAO
local.typeTrabalho de Evento

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