Handbook of Artificial Intelligence and Machine Learning in Decision Making (Springer Optimization and Its Applications, 240)

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.