國立虎尾科技大學 |

Cybernetics, human cognition, and machine learning in communicative applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Cybernetics, human cognition, and machine learning in communicative applications/ edited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar.
其他作者:	Gunjan, Vinit Kumar.
出版者:	Singapore :Springer Nature Singapore : : 2025.,
面頁冊數:	viii, 427 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Human-computer interaction. -
電子資源:	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:

555546
Human-computer interaction.

LC Class. No.: QA76.9.H85

Dewey Class. No.: 004.019

Cybernetics, human cognition, and machine learning in communicative applications
LDR:02373nam a2200337 a 4500 001 1161275
003 DE-He213
005 20250110115254.0
006 m d
007 cr nn 008maaau
008 251029s2025 si s 0 eng d
020 $a 9789819785339 $q (electronic bk.)
020 $a 9789819785322 $q (paper)
024 7 $a 10.1007/978-981-97-8533-9 $2 doi
035 $a 978-981-97-8533-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.H85
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 004.019 $2 23
090 $a QA76.9.H85 $b C994 2025
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.
260 $a Singapore : $c 2025. $b Springer Nature Singapore : $b Imprint: Springer,
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 555546
650 0 $a Artificial intelligence. $3 559380
650 0 $a Machine learning. $3 561253
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 884110
650 2 4 $a Computational Neuroscience. $3 1390780
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Data Analysis and Big Data. $3 1366136
650 2 4 $a Machine Learning. $3 1137723
700 1 $a Gunjan, Vinit Kumar. $3 1064228
700 1 $a Senatore, Sabrina. $e editor. $3 1315111
700 1 $a Kumar, Amit. $3 784614
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Cognitive science and technology. $3 1025027
856 4 0 $u https://doi.org/10.1007/978-981-97-8533-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)