Towards an emergent and autopoietic approach to adaptative chord generation through human interaction

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dc.contributor.authorde Paula Barretto F.
dc.contributor.authorVenturelli S.
dc.contributor.authordo Rego G.G.
dc.date.accessioned2024-03-13T01:05:53Z
dc.date.available2024-03-13T01:05:53Z
dc.date.issued2013
dc.description.abstractThis poster describes a transdisciplinary practical-theoretical on-going research, which address on the discussion about the possible applications of Artificial Intelligence (AI) techniques, such as genetic algorithms, which underlie the Maturana and Varela's autopoietic concept considering the achievement of emergent results as heuristic to creativity. Through human interaction using neuronal bio-feedback it is possible to provide more natural fitness function to such algorithms. © Springer-Verlag Berlin Heidelberg 2013.
dc.description.firstpage579
dc.description.issuenumberPART I
dc.description.lastpage583
dc.description.volume373
dc.identifier.doi10.1007/978-3-642-39473-7_115
dc.identifier.issn1865-0929
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/36684
dc.relation.ispartofCommunications in Computer and Information Science
dc.rightsAcesso Aberto
dc.subject.otherlanguageAutopoiesis
dc.subject.otherlanguageBio-feedback
dc.subject.otherlanguageCreativity
dc.subject.otherlanguageEmergence
dc.subject.otherlanguageGenetic algorithms
dc.titleTowards an emergent and autopoietic approach to adaptative chord generation through human interaction
dc.typeArtigo de evento
local.scopus.citations2
local.scopus.eid2-s2.0-84891499993
local.scopus.subjectAuto-poiesis
local.scopus.subjectAutopoietic
local.scopus.subjectChord generation
local.scopus.subjectCreativity
local.scopus.subjectEmergence
local.scopus.subjectFitness functions
local.scopus.subjectHuman interactions
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84891499993&origin=inward
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