Artificial Intelligence, Learning and Computation in Economics and Finance
Venkatachalam, Ragupathy
- 出版商: Springer
- 出版日期: 2024-02-16
- 售價: $6,420
- 貴賓價: 9.5 折 $6,099
- 語言: 英文
- 頁數: 325
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031152964
- ISBN-13: 9783031152962
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相關分類:
人工智慧、經濟學 Economy
海外代購書籍(需單獨結帳)
相關主題
商品描述
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, and inference, all of which have become pertinent with the increasing use of computational approaches in economic analysis.
商品描述(中文翻譯)
本書介紹了在經濟學和金融學中使用計算方法來建模複雜互動的前沿研究。人工智慧、機器學習和模擬提供了有效的手段來分析和學習大量以及新類型的數據。這些計算工具已滲透到經濟學、金融學的各個子領域，以及不同的經濟思想流派中。透過16章由經濟學、金融學、計算機科學、心理學、複雜性和統計學/計量經濟學的先驅撰寫的章節，本書介紹了他們的原創研究並呈現了他們所獲得的研究結果。
本書中所 featured 的理論和實證研究採用了多種方法，如基於代理的建模、數值模擬、可計算經濟學，以及運用人工智慧和機器學習算法的工具。還介紹了使用計算方法進行反事實思考實驗的方式，這有助於超越傳統數學和統計工具所帶來的限制。
本書還包括對方法論、認識論、歷史以及與預測、驗證和推斷相關的問題的討論，這些問題隨著計算方法在經濟分析中使用的增加而變得越來越重要。
作者簡介
Dr. Ragupathy Venkatachalam is a Senior Lecturer in Economics at the Institute of Management Studies, Goldsmiths, University of London. He obtained his Ph.D. from the University of Trento, Italy. He has previously taught economics at the Centre for Development Studies (India) and worked as a research fellow at the Artificial Intelligence Economics Research Center at the National Chengchi University (Taiwan). He serves as the co-editor of Economia Politica [Journal of Analytical and Institutional Economics]. His broad research areas include computable economics, economic dynamics, causal inference, discrimination and history of economic thought. He has published several peer-reviewed journal articles, book chapters and edited special issues on these areas. His research focuses on the algorithmic models of theorizing both at the micro- and macro-levels.
作者簡介(中文翻譯)
Dr. Ragupathy Venkatachalam 是倫敦大學金史密斯學院管理研究所的經濟學高級講師。他在意大利特倫托大學獲得博士學位。之前，他曾在印度發展研究中心教授經濟學，並在國立政治大學的人工智慧經濟研究中心擔任研究員。他擔任《Economia Politica》（分析與制度經濟學期刊）的共同編輯。他的廣泛研究領域包括可計算經濟學、經濟動態、因果推斷、歧視以及經濟思想史。他已發表多篇經過同行評審的期刊文章、書籍章節及編輯專刊，涵蓋這些領域。他的研究專注於微觀和宏觀層面的理論化算法模型。
