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Cybernetics, human cognition, and machine learning in communicative applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Cybernetics, human cognition, and machine learning in communicative applications/ edited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar.
other author:	Gunjan, Vinit Kumar.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	viii, 427 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction to Cybernetics, Cognition, and Machine Learning -- 2. Foundations of Cybernetics -- 3. Cognition and Cognitive Systems -- 4. Introduction to Machine Learning -- 5. Cybernetics and Machine Learning Integration.
Contained By:	Springer Nature eBook
Subject:	Human-computer interaction. -
Online resource:	https://doi.org/10.1007/978-981-97-8533-9
ISBN:	9789819785339

Cybernetics, human cognition, and machine learning in communicative applications
Cybernetics, human cognition, and machine learning in communicative applications[electronic resource] /edited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar. - Singapore :Springer Nature Singapore :2025. - viii, 427 p. :ill., digital ;24 cm. - Cognitive science and technology,2195-3996. - Cognitive science and technology..

1. Introduction to Cybernetics, Cognition, and Machine Learning -- 2. Foundations of Cybernetics -- 3. Cognition and Cognitive Systems -- 4. Introduction to Machine Learning -- 5. Cybernetics and Machine Learning Integration.

This book presents the fascinating intersection of human cognition and artificial intelligence. Written by leading experts in the fields of cybernetics, cognitive science, and machine learning, this book seeks to bridge the gap between these disciplines and explores the synergies that emerge when humans and machines work together. The book examines the challenges posed by biased data, lack of transparency, and the "black box" nature of some machine learning algorithms. It proposes novel ways to address these issues and foster greater trust and accountability in AI systems. Drawing on cutting-edge research and real-world case studies, it presents a comprehensive and forward-looking perspective on the future of AI and its impact on society. In conclusion, this book offers a compelling exploration of the synergy between human cognition and machine learning, providing insights that are relevant to scholars, researchers, policymakers, and anyone interested in the transformative potential of artificial intelligence.

ISBN: 9789819785339

Standard No.: 10.1007/978-981-97-8533-9doiSubjects--Topical Terms:

560071
Human-computer interaction.

LC Class. No.: QA76.9.H85

Dewey Class. No.: 004.019

Cybernetics, human cognition, and machine learning in communicative applications
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245 0 0 $a Cybernetics, human cognition, and machine learning in communicative applications $h [electronic resource] / $c edited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar.
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300 $a viii, 427 p. : $b ill., digital ; $c 24 cm.
490 1 $a Cognitive science and technology, $x 2195-3996
505 0 $a 1. Introduction to Cybernetics, Cognition, and Machine Learning -- 2. Foundations of Cybernetics -- 3. Cognition and Cognitive Systems -- 4. Introduction to Machine Learning -- 5. Cybernetics and Machine Learning Integration.
520 $a This book presents the fascinating intersection of human cognition and artificial intelligence. Written by leading experts in the fields of cybernetics, cognitive science, and machine learning, this book seeks to bridge the gap between these disciplines and explores the synergies that emerge when humans and machines work together. The book examines the challenges posed by biased data, lack of transparency, and the "black box" nature of some machine learning algorithms. It proposes novel ways to address these issues and foster greater trust and accountability in AI systems. Drawing on cutting-edge research and real-world case studies, it presents a comprehensive and forward-looking perspective on the future of AI and its impact on society. In conclusion, this book offers a compelling exploration of the synergy between human cognition and machine learning, providing insights that are relevant to scholars, researchers, policymakers, and anyone interested in the transformative potential of artificial intelligence.
650 0 $a Human-computer interaction. $3 560071
650 0 $a Artificial intelligence. $3 516317
650 0 $a Machine learning. $3 533906
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 1619875
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650 2 4 $a Data Analysis and Big Data. $3 3538537
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Gunjan, Vinit Kumar. $3 2131962
700 1 $a Senatore, Sabrina. $3 3590841
700 1 $a Kumar, Amit. $3 1532630
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