Feature Models: AI-Driven Design, Analysis and Applications (SpringerBriefs in Computer Science)

Alexander Felfernig, Andreas Falkner, David Benavides

Feature Models: AI-Driven Design, Analysis and Applications (SpringerBriefs in Computer Science) - 1
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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...

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Resumo

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.
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Feature Models: AI-Driven Design, Analysis and Applications (SpringerBriefs in Computer Science)

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Características

Editora

Springer

Idiomas

Inglês

Número de páginas

132

Encadernação

Capa Mole / Paperback

Data de lançamento

30/06/2024

Peso

200.0

Altura

23.5

Comprimento

15.5

EAN

9783031618734

Publicidade
Publicidade