有理性、人工智能与经济学 On Rationality, Artificial Intelligence And Economics
基本信息
Format Hardback | 252 pages
Dimensions 152.4 x 228.6 x 16mm | 508.02g
Publication date 30 Apr 2022
Publisher World Scientific Publishing Co Pte Ltd
ISBN10 9811255113
ISBN13 9789811255113
页面参数仅供参考，具体以实物为准
书籍简介
我们生活的世界提出了很多棘手的、有影响的、难以做出的决定。有时可供选择的方案很多，有时则是明显的二元对立，无论如何，它们常常让我们面临两难、悖论，甚至是对价值的否定。
在智能时代来临之际，当机器人逐渐从人类手中接过大部分决策权时，这本书为决策的合理性提供了一点启示。它深入研究了这些决策过程的局限性（对人类和机器而言），它通过提供一个与正统经济学某种程度上相反的新视角来做到这一点。本书中所有经济学的思考都被强调，并与人工智能相联系。
作者希望，这种全面的现代分析，牢牢建立在各种开创性的诺贝尔经济学奖得主的意见之上，可能会对那些对决策如何引导我们所有人走向繁荣社会感兴趣的广大读者有所帮助。也就是说，在这样的社会中，经济失误（由问题的过度简化和对工具的过度估计造成）会大大减少。
The world we live in presents plenty of tricky, impactful, and hard-tomake decisions to be taken. Sometimes the available options are ample, at other times they are apparently binary, either way, they often confront us with dilemmas, paradoxes, and even denial of values.
In the dawn of the age of intelligence, when robots are gradually taking over most decision-making from humans, this book sheds a bit of light on decision rationale. It delves into the limits of these decision processes (for both humans and machines), and it does so by providing a new perspective that is somehow opposed to orthodox economics. All Economics reflections in this book are underlined and linked to Artificial Intelligence.
The authors hope that this comprehensive and modern analysis, firmly grounded in the opinions of various groundbreaking Nobel laureate economists, may be helpful to a broad audience interested in how decisions may lead us all to flourishing societies. That is, societies in which economic blunders (caused by over simplification of problems and super estimation of tools) are reduced substantially.
作者简介
By (author): Daniel Muller (BTB - Be The Bank, Tel Aviv, Israel), Fernando Buarque (University of Pernambuco, Recife, Brazil), and Tshilidzi Marwala (University of Johannesburg, South Africa)
丹尼尔·穆勒是一位人工智能研究员、经济学家、工程师、数据科学家和行业从业人员。他在约翰内斯堡大学获得人工智能博士学位，导师是Tshilidzi Marwala教授。他拥有以色列理工学院的信息管理工程硕士、工业工程与管理理学士（优等生）和经济与管理文学士学位。他的研究兴趣是多学科的，它们包括人工智能、机器学习、经济学和数据科学，但不限于这些。他目前的研究重点是人工智能和经济系统的自动行动规划、顺序决策和理性。他在国防和金融科技行业的各种工程和研发岗位上有着丰富的工业经验。
Daniel Muller is an Artificial Intelligence researcher, Economist, Engineer, Data Scientist, and industry practitioner. He received his PhD degree in Artificial Intelligence from the University of Johannesburg, supervised by Prof. Tshilidzi Marwala. He holds a Master of Science in Information Management Engineering, a Bachelor of Science in Industrial Engineering and Management (cum laude), and a Bachelor of Arts in Economics and Management from the Technion - Israel Institute of Technology. His research interests are multi-disciplinary, and they include artificial intelligence, machine learning, economics, and data science but not limited to these. His current research focuses on automated action planning, sequential decision-making and rationality in artificial intelligence and economic systems. He has a rich industrial experience in various engineering and research and development positions in the defense and Fintech industries.
目录
Foreword
Preface
Acknowledgments
About the Authors
Introduction
Decision-Making and Rationality
Artificial Intelligence
Optimization
Cost-Value and Utility Dimensions and Dynamics
Relative Net Utility and the St. Petersburg Paradox
Value Rational Planning
Inference of Net-Utility Polarity of Actions in Oversubscription Planning
Conclusion
Bibliography
Index
