Handbook of Artificial Intelligence and Machine Learning in Decision Making
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Home > Mathematics and Science books > Mathematics > Optimization > Handbook of Artificial Intelligence and Machine Learning in Decision Making: (240 Springer Optimization and Its Applications)
Handbook of Artificial Intelligence and Machine Learning in Decision Making: (240 Springer Optimization and Its Applications)

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


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About the Book

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. 



Table of Contents:

Do SDGs Support Human Security? A Machine Learning Analysis with Policy Recommendations.- Which AI/ML Techniques to Select for Applications to Decision Making: Towards Theoretical Explanations of Empirical Discoveries.- Crafting & Upskilling Human Decision-Making Capabilities through 3 Transformations in an era of Artificial Intelligence.- An Overview of Reinforcement Learning Algorithms for Causal Discovery.- Maximizing influence in competitive social networks via LLM and in-context learning.- Decisions based on choice models and their applications.- Navigating Digital Discretion: Soft AI, Public Values, and Empirical Insights from Social Work.- Representation of unconscious activity of human brain in decision making and artificial intelligence.- Software solutions using neural networks for monitoring natural processes.- Strategies in Healthcare Management: A Review of Efficiency, Technology, and Patient-Centered Practices.- Artificial Intelligence as a Tool for Decision Making in Healthcare.- AI-augmented decision-making in family business.



About the Author :

Prof. Daras holds a Bachelor in in Mathematics, Department of Mathematics, University of Athens and Diplôme d’Etudes Approfondies (D.E.A.), Département des Mathématiques, Université des Sciences et Techniques de Lille Flandres-Artois, Lille. He earned his Ph.D. from the Département des Mathématiques, Université des Sciences et Techniques de Lille Flandres-Artois, Lille (Supervisors: C. Brezinski, G. Cœuré), with the highest distinction of French Universities. He is a Scientific Associate with the Technical University of Crete, Greece, and a full Professor of Pure and Applied Mathematics at the Department of Mathematics and Engineering Sciences, Hellenic Military Academy (HMA) and at the School of Telecommunications of Electronic Transmission Officers, Greece. He was the Dean at the HMA, and the Organizer and President of 7 International Scientific Conferences. He is currently the Director of two Master's Programs in Cryptography and in Operations Research and Decision Making. His research interests include Numerical Analysis, Complex Analysis, High-Dimensional Data Analysis, Cryptography, Operational Research, Military Operations Research, Optimization, and Application of Mathematics in Combat Models and Mathematical Modeling for Engineering Systems. He has authored more than 50 papers and studies in academic journals and conferences. He has published 9 edited volumes and 5 special journal issues (among others: “Applications of Mathematics and Informatics in Military Science” (from Springer), “Cryptography and its Applications in the Armed Forces”, “Mathematics and Informatics in Military Science”, “Operations Research, Engineering, and Cyber Security - Trends in Applied Mathematics” (from Springer), “Cyber-Security and Information Warfare”, “Analysis, Cryptography and Information Science”, “Approximation and Computation in Science and Engineering” (from Springer), “Applications of Mathematics and Informatics in Science and Engineering” (from Springer), “Computational Mathematics and Variational Analysis” (from Springer), “Computation, Cryptography and Network Security” (from Springer), “Military Logistics: Research Advances and Future Trends” (from Springer), “Modern Discrete Mathematics and Analysis with Applications in Cryptography Information Systems and Modeling” (from Springer)). Prof. Daras is a member of the Hellenic Mathematical Society, Hellenic Operational Research Society. He has been awarded one of the awards given by the Academy of Athens for scientific publications in Mathematics.

 


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Product Details
  • ISBN-13: 9783032248268
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Width: 155 mm
  • ISBN-10: 3032248264
  • Publisher Date: 23 Jul 2026
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: 240 Springer Optimization and Its Applications


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