Buch, Englisch, 427 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 894 g
Buch, Englisch, 427 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 894 g
Reihe: Cognitive Science and Technology
ISBN: 978-981-97-8532-2
Verlag: Springer Nature Singapore
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
Weitere Infos & Material
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.