New Artificial Intelligence (AI) Models For Policy Modelling (E-Monograph)

This electronic monograph (E-Monograph) has seven chapter with different models for policy modelling. The first chapter presents the introduction that we explain each chapter. Second chapter is interested to evaluate how artificial intelligence (AI) can change the way to do it policy modeling. The fast development of AI, big data, data sciences, neural networks, and graphical models is opening an infinity of opportunities for policymakers and academics to a new era under the uses of these alternative technologies. However, these alternative technologies can replace the traditional way how we analyze and solve socioeconomic problems. In our case, this research presents a new technology under the construction of an electronic application (theoretical framework) that is using AI, big data, data sciences, neural networks, and Econographicology simultaneously. The new electronic application is called “The Autonomous Policy Decision Maker Simulator (APDM-Simulator). Finally, we introduce the APDM-Simulator theoretical framework and a few examples of how to use the APDM-Simulator to solve any socio-economic issue(s). The APDM-Simulator is used as a main database based on the uses of all volumes (45) and issues (285) from the Journal of Policy Modelling (JPM) published by Elsevier in the last past forty-five years (1978-2023).Third chapter mention about the rationale of the Multi-Level Cryptodata Analytical Intelligence System (MCAI-System) revolves around the efficacy of multi-level mega-data analysis frameworks together with the uses of multidimensional graphs as the most effective analytical artificial intelligence learning machine tool to understand and solve any economic, financial, or business problems from a holistic approach. The main motivation behind the creation of the MCAI-System is to offer a new artificial intelligence learning machine tool to evaluate dynamic and complex economic, finance, or business problems to facilitate a large list of possible solutions efficiently. Thereby, the mission of the MCAI-System is to offer academics, researchers, and policy maker’s an alternative artificial intelligence approach. Hence, the MCAI-System is offering a set of different types of multidimensional artificial intelligence learning machines tools are presented: the mega-dynamic disks coordinate space (vertical position and horizontal position) learning machine tool and the mega-disks networks mapping (MDN-Mapping) learning machine tool. Fourth Chapter proposes the application of the special theory of relativity by Professor Albert Einstein in monetary policy. The money energy (Em) is able to show clearly than with low amounts of inflation growth rates and with a high-speed rate for one year. We can generate a large amount of money energy in short periods of time. At the same time, with sustainable and constant expansion of the GDP in real prices growth rate (∆GDPr) together with a large consumption growth rate (∆C) with moderate and controlled amounts of money supply growth rates (∆MS).The fifth chapters presents “The Economic Cubic Warp Effect Simulator (ECWE-Simulator)”. The main objective of the ECWE-Simulator is to evaluate how strong or weak can be an economy in case of a financial crisis, war, natural disasters, and pandemic an economy under the uses of a large number of exogenous variables and endogenous variables that interacting together in the same graphical space framework. Hence, our final target is to observe HOW any crisis be natural or social can economy tolerate under certain circumstances and environments through the visualization of a cube that keep in constant movement and warp stage all the time. Finally, the evaluation of a natural or social crisis depend on the position and size that the cube is going to occupied in the ECWE-Simulator. Sixth chapter is interested to introduce a new graphical pictorial approach to visualize the final total output (GDP) size of any country by parts or full graphically. This new economic graphical pictorial approach is called “The Economic Growth Accumulation Process Helix (EGAP-Helix)”. The EGAP-Helix tries to show the physical size of the economic growth behavior of any country from a new geometrical graphical visualization perspective. Therefore, the main objective to build the EGAP-Helix is to have a general idea about the economic growth volumes and size performance using the economic growth spheres (EG-Spheres) and EGAP-Helix. Seventh chapter purposes a new mathematical prove to verify that a perfect interconnectivity of a serial of sticks can handle to floating or moving on any liquid or ice surface faster for longer times. However, this research opens a new opportunity to find new applications in spaces research in non-gravitational resistance environments that permit new idea to build special sticks for space bases to keep a perfect allocation and resistance in any altitude and pression levels without any restriction or constrains in its uses.