Artificial intelligence in the field of economics

被引:19
作者
Bickley, Steve J. [1 ,2 ]
Chan, Ho Fai [1 ,2 ]
Torgler, Benno [1 ,2 ,3 ]
机构
[1] Queensland Univ Technol, Sch Econ & Finance, 2 George St, Brisbane, Qld 4000, Australia
[2] Ctr Behav Econ Soc & Technol BEST, 2 George St, Brisbane, Qld 4000, Australia
[3] CREMA Ctr Res Econ Management & Arts, Sudstr 11, CH-8008 Zurich, Switzerland
基金
澳大利亚研究理事会;
关键词
Artificial intelligence; Machine learning; Economics; Scientometrics; Science of science; Bibliometrics; WEB-OF-SCIENCE; GOOGLE-SCHOLAR; BIG DATA; SCOPUS; AI; CREATIVITY; BUSINESS; CYBERNETICS; MANAGEMENT; LANDSCAPE;
D O I
10.1007/s11192-022-04294-w
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The history of AI in economics is long and winding, much the same as the evolving field of AI itself. Economists have engaged with AI since its beginnings, albeit in varying degrees and with changing focus across time and places. In this study, we have explored the diffusion of AI and different AI methods (e.g., machine learning, deep learning, neural networks, expert systems, knowledge-based systems) through and within economic subfields, taking a scientometrics approach. In particular, we centre our accompanying discussion of AI in economics around the problems of economic calculation and social planning as proposed by Hayek. To map the history of AI within and between economic sub-fields, we construct two datasets containing bibliometrics information of economics papers based on search query results from the Scopus database and the EconPapers (and IDEAs/RePEc) repository. We present descriptive results that map the use and discussion of AI in economics over time, place, and subfield. In doing so, we also characterise the authors and affiliations of those engaging with AI in economics. Additionally, we find positive correlations between quality of institutional affiliation and engagement with or focus on AI in economics and negative correlations between the Human Development Index and share of learning-based AI papers.
引用
收藏
页码:2055 / 2084
页数:30
相关论文
共 111 条
[1]  
Agrawal A., 2018, Prediction Machines: The Simple Economics of Artificial Intelligence
[2]   A Criteria-based Assessment of the Coverage of Scopus and Web of Science [J].
Aksnes, Dag W. ;
Sivertsen, Gunnar .
JOURNAL OF DATA AND INFORMATION SCIENCE, 2019, 4 (01) :1-21
[3]   Ranking economics departments worldwide on the basis of PhD placement [J].
Amir, Rabah ;
Knauff, Malgorzata .
REVIEW OF ECONOMICS AND STATISTICS, 2008, 90 (01) :185-190
[4]  
[Anonymous], 2001, CASE BASED REASONING
[5]  
[Anonymous], 1965, Technical report
[6]  
Bastani Aaron., 2020, FULLY AUTOMATED LUXU
[7]  
Bickley S. J., 2021, CREMA Working Paper online
[8]   Quantum-sapiens: the quantum bases for human expertise, knowledge, and problem-solving [J].
Bickley, Steve J. ;
Chan, Ho Fai ;
Schmidt, Sascha L. ;
Torgler, Benno .
TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2021, 33 (11) :1290-1302
[9]   Cybernetics and economics [J].
BilleterFrey, EP .
KYBERNETES, 1996, 25 (7-8) :130-+
[10]   Creativity and artificial intelligence [J].
Boden, MA .
ARTIFICIAL INTELLIGENCE, 1998, 103 (1-2) :347-356