國立高雄大學圖資館 |

登入

回首頁

Cybernetics, human cognition, and machine learning in communicative applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Cybernetics, human cognition, and machine learning in communicative applicationsedited 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$q(electronic bk.)

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$q(electronic bk.)

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

189333
Human-computer interaction.

LC Class. No.: QA76.9.H85

Dewey Class. No.: 004.019

Cybernetics, human cognition, and machine learning in communicative applications
LDR:02374nmm a2200337 a 4500 001 680179
003 DE-He213
005 20250110115254.0
006 m d
007 cr nn 008maaau
008 251110s2025 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 : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
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 189333
650 0 $a Artificial intelligence. $3 194058
650 0 $a Machine learning. $3 188639
650 1 4 $a Computational Intelligence. $3 338479
650 2 4 $a Mathematical Models of Cognitive Processes and Neural Networks. $3 567118
650 2 4 $a Computational Neuroscience. $3 914985
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Data Analysis and Big Data. $3 913147
650 2 4 $a Machine Learning. $3 833608
700 1 $a Gunjan, Vinit Kumar. $3 712151
700 1 $a Senatore, Sabrina. $3 917812
700 1 $a Kumar, Amit. $3 511090
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Cognitive science and technology. $3 679773
856 4 0 $u https://doi.org/10.1007/978-981-97-8533-9
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)