| 期刊全稱 | Artificial Intelligence, Learning and Computation in Economics and Finance | | 影響因子2023 | Ragupathy Venkatachalam | | 視頻video | http://file.papertrans.cn/163/162552/162552.mp4 | | 發(fā)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 | | 學(xué)科分類 | Understanding Complex Systems | | 圖書封面 |  | | 影響因子 | .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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