| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910983479503321 |
|
|
Autore |
Gunjan Vinit Kumar |
|
|
Titolo |
Cybernetics, Human Cognition, and Machine Learning in Communicative Applications / / edited by Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2025.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (481 pages) |
|
|
|
|
|
|
Collana |
|
Cognitive Science and Technology, , 2195-3996 |
|
|
|
|
|
|
Altri autori (Persone) |
|
SenatoreSabrina |
KumarAmit |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computational intelligence |
Neural networks (Computer science) |
Computational neuroscience |
Artificial intelligence |
Quantitative research |
Machine learning |
Computational Intelligence |
Mathematical Models of Cognitive Processes and Neural Networks |
Computational Neuroscience |
Artificial Intelligence |
Data Analysis and Big Data |
Machine Learning |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
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. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
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. |
|
|
|
|
|
| |