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Titlebook: Artificial Intelligence, Learning and Computation in Economics and Finance; Ragupathy Venkatachalam Book 2023 The Editor(s) (if applicable

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发表于 2025-3-21 16:20:02 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence, Learning and Computation in Economics and Finance
影响因子2023Ragupathy Venkatachalam
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发行地址Includes studies focusing on modern learning/AI approaches.Gathers contributions broadly related to inference in the context of machine learning tools.Highlights the role of cognition and learning in
学科分类Understanding Complex Systems
图书封面Titlebook: Artificial Intelligence, Learning and Computation in Economics and Finance;  Ragupathy Venkatachalam Book 2023 The Editor(s) (if applicable
影响因子.This book presents frontier research on the use of computational methods to model complex interactions in economics and finance. Artificial Intelligence, Machine Learning and simulations offer effective means of analyzing and learning from large as well as new types of data. These computational tools have permeated various subfields of economics, finance, and also across different schools of economic thought. Through 16 chapters written by pioneers in economics, finance, computer science, psychology, complexity and statistics/econometrics, the book introduces their original research and presents the findings they have yielded..Theoretical and empirical studies featured in this book draw on a variety of approaches such as agent-based modeling, numerical simulations, computable economics, as well as employing tools from artificial intelligence and machine learning algorithms. The use of computational approaches to perform counterfactual thought experiments are also introduced, which help transcend the limits posed by traditional mathematical and statistical tools..The book also includes discussions on methodology, epistemology, history and issues concerning prediction, validation, a
Pindex Book 2023
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,Sequential Monte Carlo Squared for Agent-Based Models,tate(s) of the system, and a second one for the parameters. The former consists of a meanwhile well-known particle approximation of the likelihood, while for the latter I implement a generic SMC algorithm designed along the lines of Del Moral et al. (.). In an application to a well-studied financial
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Toward a General Model of Financial Markets,ion sciences. The focus is centered on the precision and reliability of information and the broad definition of rationality. The main thesis advanced is that the roots of behavioral anomalies are the imprecision and reliability of information. We propose a general framework that subsumes efficient a
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