Artificial Intelligence, Learning and Computation in Economics and Finance

This book explores the use of computational methods to model complex interactions in economics and finance, including agent-based modeling, numerical simulations, computable economics, and artificial intelligence and machine learning algorithms. It also discusses methodology, epistemology, history, and issues concerning prediction, validation, and inference.

Format: Hardback
Length: 325 pages
Publication date: 16 February 2023
Publisher: Springer International Publishing AG

This comprehensive book delves into cutting-edge research on the application of computational methods to model intricate interactions in economics and finance. By harnessing the power of artificial intelligence, machine learning, and simulations, it provides efficient means to analyze and extract valuable insights from diverse datasets, including large and novel types. These computational tools have permeated various subfields within economics and finance, as well as across different schools of economic thought.

Spanning 16 chapters authored by esteemed experts in economics, finance, computer science, psychology, complexity, and statistics/econometrics, the book offers a rich tapestry of original research and insightful findings. These chapters explore a wide range of theoretical and empirical studies, employing diverse approaches such as agent-based modeling, numerical simulations, computable economics, and leveraging tools from artificial intelligence and machine learning algorithms.

Furthermore, the book introduces the use of computational approaches to conduct counterfactual thought experiments, enabling researchers to transcend the limitations imposed by traditional mathematical and statistical tools. Additionally, it delves into methodological considerations, epistemological foundations, historical perspectives, and issues related to prediction, validation, and inference, which have gained heightened importance in the context of increasing reliance on computational methods in economic analysis.

This book serves as a valuable resource for scholars, researchers, and practitioners seeking to advance their understanding of complex economic and financial systems through the lens of computational methodologies. Its multidisciplinary approach and cutting-edge insights make it an essential read for anyone interested in exploring the frontiers of economic research.

Weight: 676g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031152931
Edition number: 1st ed. 2023