Handbook of Artificial Intelligence and Machine Learning in Decision Making

286 Seiten, Hardcover

Kurzbeschreibung des Verlags

This volume presents a collection of invited chapters covering a broad range of perspectives on AI and decision-making. The scope is broad, and the potential impact is expected to be broader. Therefore, this volume represents only the beginning of a timely exploration of decision-making processes across thousands of applications that AI is expected to influence, including engineering, healthcare, management, human behavior, and business. 

This handbook includes several applications of decision-making based on artificial intelligence and machine learning techniques. This book also explores both new methods and well-established techniques in several topics related to AI and decision-making. 

This book is suitable for practitioners and researchers interested in artificial intelligence, machine learning, decision-making, and related topics. 

• Reihe: Springer Optimization and Its Applications
• Themen: Mathematik und Naturwissenschaften Mathematik Optimierung
• ISBN: 9783032248268
• Sprache: Englisch
• Erscheinungsdatum: 28.10.2026
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing
• Herausgegeben von: Nicholas J. Daras, Antonios Fytopoulos, Panos M. Pardalos