Automated scientific discovery and hofstadter's fluid concepts model

dc.contributorEscolas::EBAPE
dc.contributorFGV
dc.creatorLinhares, Alexandre
dc.creatorNichols, Eric
dc.date.accessioned2018-10-25T18:23:35Z
dc.date.accessioned2022-11-03T20:32:38Z
dc.date.available2018-10-25T18:23:35Z
dc.date.available2022-11-03T20:32:38Z
dc.date.created2018-10-25T18:23:35Z
dc.date.issued2008
dc.identifier9781577353959
dc.identifierhttp://hdl.handle.net/10438/25266
dc.identifier2-s2.0-65649110489
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5040392
dc.description.abstractIn this talk we present the Fluid Concepts cognitive model, developed by Douglas Hofstadter and his students over the last 30 years. Models in the Fluid Concepts tradition aim to provide a psychologically plausible description of perception and analogy-making, incorporating the parallel processing of bottom-up, data-driven percepts and topdown, expectation-driven hypotheses. We discuss these models' implications for scientific discovery.
dc.languageeng
dc.relationAAAI Fall Symposium - Technical Report
dc.rightsopenAccess
dc.sourceScopus
dc.subjectCognitive model
dc.subjectData-driven
dc.subjectDouglas
dc.subjectHofstadter
dc.subjectParallel processing
dc.subjectScientific discovery
dc.subjectTopdown
dc.titleAutomated scientific discovery and hofstadter's fluid concepts model
dc.typeConference Proceedings


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