Machine Learning Perspectives of Agent-Based Models: Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia

Author:   Pedro Campos ,  Anand Rao ,  Joaquim Margarido
Publisher:   Springer International Publishing AG
Edition:   2025 ed.
ISBN:  

9783031733536


Pages:   377
Publication Date:   19 August 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Machine Learning Perspectives of Agent-Based Models: Practical Applications to Economic Crises and Pandemics with Python, R, Netlogo and Julia


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Author:   Pedro Campos ,  Anand Rao ,  Joaquim Margarido
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2025 ed.
ISBN:  

9783031733536


ISBN 10:   3031733533
Pages:   377
Publication Date:   19 August 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Anand Rao is a Distinguished Services Professor of Applied Data Science and AI in the Heinz College of Information Systems and Public Policy at Carnegie Mellon University.  He received his PhD from the University of Sydney (with a University Postgraduate Research Award-UPRA) in 1988 and an MBA (with Award of Distinction) from Melbourne Business School in 1997. He boasts a 35-year career spanning AI, data, and analytics, serving as PwC's Global AI Leader. His research focuses on operationalizing AI, responsible AI, and agent-based models. Recognized globally, he has received accolades such as the Most Influential Paper Award and distinctions in AI and InsureTech. Prior to joining management consulting, he was the Chief Research Scientist at the Australian Artificial Intelligence Institute, where he built agent-based models and simulation systems and conducted research in the theory and practice of multi-agent systems.  Pedro Campos, PhD in Business Sciences (2008), with a background in Mathematics and Statistics, is Associate Professor of the Faculty of Economics, University of Porto, and conducts his research at LIAAD, the Artificial Intelligence and Decision Analysis Laboratory of INESC TEC. He currently serves as the Director of Methodology Services at Statistics Portugal. He specializes in Statistics, Data Science, Network Mining, and Marketing Research. Some of his research contributions delve into Innovation and Employment, Collaborative Networks, and Data Visualization. He has more than 50 publications, including articles in specialized journals and book chapters, and has edited 3 books. Pedro is also Deputy Director of the ISLP (International Statistical Literacy Project).  Joaquim Margarido, an ISEP (Superior Institute of Engineering of Porto) graduate, holds a master's degree in multi-agent systems. With expertise in IT, he imparts knowledge in programming using Java, Python, C#, SQL, and web technologies. Dedicated to practical solutions, Joaquim has developed software for various companies, addressing common challenges. His commitment to innovative software solutions reflects his extensive training and proficiency in diverse programming languages, contributing to both education and industry.

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