How Artificial Intelligence (AI) Can Help in the Economic Modelling?

Abstract

This paper is interested to evaluate how artificial intelligence (AI) can help in the economic modeling. The fast development of AI, big data, data sciences, neural networks, and graphical models is opening opportunities to Economists and Academics to a new era under the uses of these alternative technologies. However, AI can replace the traditional way how we analyze and solve economic problems. In our case, this research presents an alternative economic method under the presentation of an application (theoretical framework) that is using AI, big data, data sciences, neural networks, and Econographicology simultaneously. The new electronic application is called “The Autonomous Economic Decision Maker Simulator (AEDM-Simulator). Finally, we introduce the AEDM-Simulator theoretical framework and a few examples of how to use the AEDM-Simulator to solve any economic issue(s). The AEDM-Simulator is used as a main database based on the uses of all volumes (39) and issues (250) from the Journal of Economic Modelling (JEM) published by Elsevier in the last past thirt-nine years (1984-2023).

Keywords: Economic modelling, Multidimensional graphical modeling, learning machine, artificial intelligence, AEDM-Simulator, multidimensional coordinate spaces, quantitative mega-data visualization, Econographicology.

JEL Classification: Y20