Publication:
Collective and distributive swarm intelligence: Evolutional biological survey

dc.contributor.authorHarold Szuen_US
dc.contributor.authorPornchai Chanyagornen_US
dc.contributor.authorWilliam Hwangen_US
dc.contributor.authorMike Paulinen_US
dc.contributor.authorTakeshi Yamakawaen_US
dc.contributor.otherGeorge Washington Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherDuke Universityen_US
dc.contributor.otherUniversity of Otagoen_US
dc.contributor.otherKyushu Institute of Technologyen_US
dc.date.accessioned2018-07-24T03:50:00Z
dc.date.available2018-07-24T03:50:00Z
dc.date.issued2004-08-01en_US
dc.description.abstractWe survey swarm intelligence from microorganisms (bacteria phenol/genotypes of Myxococcus xanthus, and marine light quorum sensing in V. fischeri) to colonizing insects (ants, bees, termites) and flocking animals (pelicans). All seem to rely on some sensors for communication including local chemical pheromone secretions. We conclude that swarming robots prefer to operate at the equilibrium, at minimum free energy H=E−ToS, in cases of truly unsupervised learning among teammates without constant attention of human master. © 2004 Elsevier B.V.en_US
dc.identifier.citationInternational Congress Series. Vol.1269, No.C (2004), 46-49en_US
dc.identifier.doi10.1016/j.ics.2004.06.013en_US
dc.identifier.issn05315131en_US
dc.identifier.other2-s2.0-33750132295en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/21596
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33750132295&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleCollective and distributive swarm intelligence: Evolutional biological surveyen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33750132295&origin=inwarden_US

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