Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of the 2021 Annual Conference of the North American Fuzzy Information ... Notes in Networks and Systems, 258, Band 258) - Softcover

Buch 256 von 391: Lecture Notes in Networks and Systems
 
9783030820985: Explainable AI and Other Applications of Fuzzy Techniques: Proceedings of the 2021 Annual Conference of the North American Fuzzy Information ... Notes in Networks and Systems, 258, Band 258)
Softcover
ISBN 10: 303082098X ISBN 13: 9783030820985
Verlag: Springer, 2021

Inhaltsangabe

This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques.

This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI―in short, to anyone who is interested in problems involving fuzziness and AI in general.


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Von der hinteren Coverseite

This book focuses on an overview of the AI techniques, their foundations, their applications, and remaining challenges and open problems. Many artificial intelligence (AI) techniques do not explain their recommendations. Providing natural-language explanations for numerical AI recommendations is one of the main challenges of modern AI. To provide such explanations, a natural idea is to use techniques specifically designed to relate numerical recommendations and natural-language descriptions, namely fuzzy techniques.

This book is of interest to practitioners who want to use fuzzy techniques to make AI applications explainable, to researchers who may want to extend the ideas from these papers to new application areas, and to graduate students who are interested in the state-of-the-art of fuzzy techniques and of explainable AI―in short, to anyone who is interested in problems involving fuzziness and AI in general.

 

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Verlag
Springer
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
303082098X
ISBN 13 
9783030820985
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
518
Herausgeber
Rayz Julia, Raskin Victor, Dick Scott, Kreinovich Vladik
Kontakt zum Hersteller
ProductSafety@springernature.com
ProductSafety@springernature.com

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