Parameter characterization of two-dimensional cellular automata rule space

dc.contributor.authorde Oliveira G.M.B.
dc.contributor.authorSiqueira S.R.C.
dc.date.accessioned2024-03-13T01:42:29Z
dc.date.available2024-03-13T01:42:29Z
dc.date.issued2006
dc.description.abstractCellular automata (CA) are discrete dynamical systems formed by a great number of identical and simple components, with local connectivity. It has been proved that the problem of forecasting the dynamical behavior of CA is undecidable. Based upon parameterizations of CA rule space, several approximations have been investigated. The majority of these studies are focused on the one-dimensional CA. The present work generalizes for the two-dimensional space the definition of three parameters previously published in the one-dimensional context: sensitivity, neighborhood dominance and activity propagation. As an example of the application of such generalized parameters some simulations about the computational task known as the density classification task are reported. © 2006 Elsevier Ltd. All rights reserved.
dc.description.firstpage1
dc.description.issuenumber1
dc.description.lastpage6
dc.description.volume217
dc.identifier.doi10.1016/j.physd.2006.02.010
dc.identifier.issn0167-2789
dc.identifier.urihttps://dspace.mackenzie.br/handle/10899/37789
dc.relation.ispartofPhysica D: Nonlinear Phenomena
dc.rightsAcesso Restrito
dc.subject.otherlanguageCellular automata
dc.subject.otherlanguageForecast behaviour parameters
dc.subject.otherlanguagePhase diagram
dc.subject.otherlanguageTwo-dimensional density task
dc.titleParameter characterization of two-dimensional cellular automata rule space
dc.typeArtigo
local.scopus.citations16
local.scopus.eid2-s2.0-33747876219
local.scopus.subjectCellular automata (CA)
local.scopus.subjectDensity classification
local.scopus.subjectForecast behaviour parameters
local.scopus.subjectTwo-dimensional density task
local.scopus.updated2024-05-01
local.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33747876219&origin=inward
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