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dc.contributor.authorPaenke, Ingo*
dc.date.accessioned2021-02-11T11:51:43Z
dc.date.available2021-02-11T11:51:43Z
dc.date.issued2008*
dc.date.submitted2019-07-30 20:02:01*
dc.identifier35315*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/45582
dc.description.abstractThe book develops a unifying perspective on how learning influences evolutionary dynamics which for the first time explains seemingly contradicting results from the literature. It also reveals formerly unknown facets of the complex interplay of the two major biological adaptation mechanisms. The results apply to models from computational intelligence and evolutionary biology alike, thus contribute to the transfer of principles of biological adaptation to digital processing system.*
dc.languageEnglish*
dc.subjectQA75.5-76.95*
dc.subject.otherLearning*
dc.subject.otherBaldwin effect*
dc.subject.otherDiversity*
dc.subject.otherEvolution*
dc.titleDynamics of Evolution and Learning*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000008384*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783866442474*
oapen.pagesX, 168 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/