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Matsui, M. (2020). Proposal of a Certain AI Matrix Method: Tentative Example of a Conveyor-System AI Model and Ideal Artificial Bodies. In Japan Industrial Management Association Research Exchange Meeting. Tokyo Institute of Technology.

has been cited by the following article:

• TITLE: AI-Digital Engine of Artificial Economic and Knowledge Type by a Matsui’s Progressive Loop Approach

  AUTHORS: Masayuki Matsui

  KEYWORDS: Digital Engine, Ellipse Pair-Map, Progressive Loop Dynamism, Matrix Approach, Intangible Artifacts

  JOURNAL NAME: Theoretical Economics Letters, Vol.12 No.5, September 29, 2022

  ABSTRACT: Based on numbers, data, information signals, and science, humankind has developed an artificial language tools and artifacts. At intangible artifacts, we first compared ordered queuing vs. flow number methods to visualize cumulative processes for such entities as big data, and showed the anatomy (Carnott-like cycle) of ellipse-cross type at the economics (engine) vs. reliability(handle) of body map by using this progressive-loop method at GDP case in Matsui (2022). Next, we discussed a few methods and examples of virtual engines of economic and knowledge systems by Matsui’s equation & ME (M-equation) approach. Finally, formulation types of AI-like matrix engine (square matrix or correlation table) and Matsui’s matrix approach are graphically given at a white box of SW (middle initiative) base, and would contribute to a knowledge-based and digital society.