AI-Digital Engine of Artificial Economic and Knowledge Type by a Matsui’s Progressive Loop Approach
- 1 The University of Electro-Communications, Tokyo, Japan
- 2 Kanagawa University, Yokohama, Japan
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.
- Jewell, W. S. (1967). A Simple Proof of: L= λW. Operations Research, 15, 1109-1116. https://doi.org/10.1287/opre.15.6.1109
- Matsui, M. (1981). A Study on Optimal Operating Policies in Conveyor-Serviced Production Systems. Doctoral Dissertation, Tokyo Institute of Technology. (In Japanese)
- Matsui, M. (2002a). How to Display, Create, and Manage Management Data. Unexamined Patent Application: 2002-49449 and 2019-212306 at Japan. (In Japanese)
- Matsui, M. (2002b). Management Data Control Method. Unexamined Patent Application 2002-197261. (In Japanese)
- Matsui, M. (2005a). CSPS Model: Look-Ahead Controls and Physics. International Journal of Production Research, 43, 2001-2015. https://doi.org/10.1080/00207540412331331416
- Matsui, M. (2005b). Control of Inventory Fluctuations in On-Demand SCM by Flow Number Chart Method. Journal of Japan Industrial Management Association (JIMA), 56, 139-145. (In Japanese)
- Matsui, M. (2005c). Maximizing Profits of Manufacturing and Sales Collaboration Theory Revealed by a “Pair Strategy Chart”. DIAMOND Harvard Business Review (DHBR), 30, 1-13. (In Japanese)
- Matsui, M. (2008). Manufacturing and Service Enterprise with Risks: A Stochastic Management Approach (International Series in Operations Research & Management Science, Vol. 125). Springer. https://doi.org/10.1007/978-0-387-84804-4
- Matsui, M. (2014a). Flow Number Management. In Business Engineering Encyclopedia (pp. 58-59). Japan Industrial Management Association (JIMA). (In Japanese)
- Matsui, M. (2014b). Manufacturing and Service Enterprise with Risks II: The Physics and Economics of Management (International Series in Operations Research & Management Science, Vol. 202). Springer. https://doi.org/10.1007/978-4-431-54619-1
- Matsui, M. (2016). Fundamentals and Principles of Artifacts Science: 3M&I-Body System. Springer. https://doi.org/10.1007/978-981-10-0473-5
- Matsui, M. (2019a). A Demand-to-Supply Enterprise Robot and Its ODICS II Type for Convenience Store Application. Procedia Manufacturing, 39, 381-388. https://doi.org/10.1016/j.promfg.2020.01.381
- Matsui, M. (2019b). Theory, Formulation and Realization of Artifacts Science: 3M&I-Body System. Springer. https://doi.org/10.1007/978-981-13-3495-5
- 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.