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Feature Models : AI-Driven Design, Analysis and Applications / by Alexander Felfernig, Andreas Falkner, David Benavides

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Computer SciencePublisher: Cham : Springer International Publishing, 2024Publisher: Cham : Imprint: Springer, 2024Edition: 1st ed. 2024Description: 1 Online-Ressource(X, 122 p.)ISBN:
  • 9783031618741
Subject(s): Additional physical formats: 9783031618734 | 9783031618758 | Erscheint auch als: 9783031618734 Druck-Ausgabe | Erscheint auch als: 9783031618758 Druck-AusgabeDDC classification:
  • 005.1 23
DOI: DOI: 10.1007/978-3-031-61874-1Online resources: Summary: Preface -- 1) Introduction -- 2) Feature Modelling -- 3) Analysis of Feature Models -- 4) Interacting with Feature Model Configurators -- 5) Tools and Applications .Summary: This open access book provides a basic introduction to feature modelling and analysis as well as to the integration of AI methods with feature modelling. It is intended as an introduction for researchers and practitioners who are new to the field and will also serve as a state-of-the-art reference to this audience. While focusing on the AI perspective, the book covers the topics of feature modelling (including languages and semantics), feature model analysis, and interacting with feature model configurators. These topics are discussed along the AI areas of knowledge representation and reasoning, explainable AI, and machine learning.PPN: PPN: 1893107922Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-SOB
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