Multi-agent coordination through mutualistic interactions

dc.contributor.authorLurgi, M.
dc.contributor.authorRobertson, D.
dc.contributor.conferenceCOIN 2011 International Workshops (3 May 2011 - 3 May 2011 : Taipei, Taiwan)
dc.contributor.editorCranefield, S.
dc.contributor.editorvan Riemsdijk, M.B.
dc.contributor.editorVázquez-Salceda, J.
dc.contributor.editorNoriega, P.
dc.date.issued2012
dc.description.abstractIn this paper we present an ecologically-inspired approach to agent coordination. Mutualistic networks of interacting species in nature possess characteristics that provide the systems they represent with features of stability, minimised competition, and increased biodiversity. We take inspiration from some of the ecological mechanisms that operate at the interaction level in mutualistic interactions, and which are believed to be responsible for the emergence of these system level patterns, in order to promote this structural organisation in networks of interacting agents, enhancing in this way their cooperative abilities. We demonstrate that given plausible starting conditions, we can expect mutualistic features to appear in self-organising agent systems, and we compare them with natural ones to show how the characteristics displayed by ecologically inspired networks of agents are similar to those found in natural communities. We argue that the presence of these patterns in agent interaction networks confer these systems with properties similar to those found in mutualistic communities found in the real world.
dc.description.statementofresponsibilityMiguel Lurgi and David Robertson
dc.identifier.citationLecture Notes in Artificial Intelligence, 2012 / Cranefield, S., van Riemsdijk, M.B., Vázquez-Salceda, J., Noriega, P. (ed./s), vol.7254, pp.1-20
dc.identifier.doi10.1007/978-3-642-35545-5_1
dc.identifier.isbn9783642355448
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/2440/93220
dc.language.isoen
dc.publisherSpringer Verlag
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.rights©Springer-Verlag Berlin Heidelberg 2012
dc.source.urihttps://doi.org/10.1007/978-3-642-35545-5_1
dc.subjectagents coordination
dc.subjectecologically-inspired interactions
dc.subjectcomplex systems
dc.subjectmutualism
dc.subjectemergent behaviour
dc.subjectcooperation
dc.titleMulti-agent coordination through mutualistic interactions
dc.typeConference paper
pubs.publication-statusPublished

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