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Organic Computing

dc.contributor.editorTomforde, Sven
dc.contributor.editorKrupitzer, Christian
dc.date.accessioned2022-07-18T14:17:18Z
dc.date.available2022-07-18T14:17:18Z
dc.date.issued2022
dc.identifierdoi:10.17170/kobra-202202215780
dc.identifier.urihttp://hdl.handle.net/123456789/14004
dc.language.isoengeng
dc.publisherkassel university press
dc.rightsNamensnennung - Weitergabe unter gleichen Bedingungen 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectAIeng
dc.subjectKünstliche Intelligenzger
dc.subjectKIger
dc.subjecthuman-machine collaborationeng
dc.subjectactive learningeng
dc.subjectmachine learningeng
dc.subject.ddc004
dc.subject.ddc600
dc.titleOrganic Computingeng
dc.typeBuch
dcterms.abstractThe Organic Computing Doctoral Dissertation Colloquium (OC-DDC) series is part of the Organic Computing (OC) initiative which is steered by a Special Interest Group of the German Society of Computer Science (Gesellschaft für Informatik e.V.). It provides an environment for PhD students who have their research focus within the broader OC community to discuss their PhD project and current trends in the corresponding research areas, including, for instance, research in the context of Autonomic Computing, Self-adaptive (Software) Systems, ProActive computing, Complex Adaptive Systems, Self-Organisation, Self-Aware Computing, Interwoven Systems, and related topics. This book presents the results of the OC-DDC 2021. Successful participants have been invited to extend their abstracts submitted to the event towards a full book chapter by taking reviews and feedback received at the event into account. Fourteen participants prepared a contribution to this book, helped to perform a sophisticated review process, and finally came up with interesting articles summarising their current work in the context of Organic Computing. Hence, the book also gives an overview of corresponding research activities in the field in Germany for the year 2021. The collection of contributions reflects the diversity of the different aspects of Organic Computing.eng
dcterms.accessRightsopen access
dcterms.creatorBöhm, Stefan-Andreas
dcterms.creatorAhrens, Mischa
dcterms.creatorNivarthi, Chandana Priya
dcterms.creatorHeidecker, Florian
dcterms.creatorBüttner, Johannes
dcterms.creatorDingel, Kristina
dcterms.creatorReichhuber, Simon
dcterms.creatorHuang, Zhixin
dcterms.creatorHe, Yujiang
dcterms.creatorBabu, Sooraj K.
dcterms.creatorPham, Tuan
dcterms.creatorVon Tüllenburg, Ferdinand
dcterms.creatorThomsen, Ingo
dcterms.creatorKoschowoj, Aleksey
dcterms.extentXV, 194 Seiten
dc.publisher.placeKassel
dc.relation.isbn978-3-7376-1014-8
dc.subject.swdOrganic Computingger
dc.subject.swdKünstliche Intelligenzger
dc.subject.swdMensch-Maschine-Kommunikationger
dc.subject.swdMaschinelles Lernenger
dc.subject.swdAktives maschinelles Lernenger
dc.title.subtitleDoctoral Dissertation Colloquium 2021eng
dc.type.versionpublishedVersion
dcterms.source.seriesIntelligent Embedded Systems
dcterms.source.volumeBand 20
kup.iskuptrue
kup.price39,00
kup.seriesIntelligent Embedded Systemseng
kup.subjectNaturwissenschaft, Technik, Informatik, Medizin
kup.typSammelband
kup.institutionFB 16 / Elektrotechnik / Informatik
kup.bindingSoftcover
kup.sizeDIN A5
ubks.epflichttrue


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