Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/440
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dc.creatoroliveira, e
dc.date.accessioned2022-09-15T23:14:27Z-
dc.date.available2022-09-15T23:14:27Z-
dc.date.issued2001
dc.identifier.issn0302-9743
dc.identifier.othersigarra:56255
dc.identifier.urihttps://hdl.handle.net/10216/440-
dc.description.abstractAgent-based systems suitable for dealing with applications where the environment is both dynamic and populated with competitors demand for sophisticated characteristics including adaptation, negotiation and coordination. We here briefly summarize some proposals on agents' negotiation capabilities including adaptation through reinforcement learning as well as qualitative multi-criteria negotiation and coalition formation protocols. Also, and inspired by robosoccer domain, some basic hints on knowledge representation for agents' team work are here described. All those proposals on automatic negotiation have been implemented through agent-based systems for different application domains (MACIV, SMACE, ForEV).
dc.language.isoeng
dc.relation.ispartofMULTI-AGENT SYSTEMS AND APPLICATIONS
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCiências da computação e da informação
dc.subjectComputer and information sciences
dc.titleAgents' advanced features for negotiation and coordination
dc.typeArtigo em Revista Científica Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.identifier.authenticusP-000-XHX
dc.subject.fosCiências exactas e naturais::Ciências da computação e da informação
dc.subject.fosNatural sciences::Computer and information sciences
Appears in Collections:FEUP - Artigo em Revista Científica Internacional

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