Scientific Foundation of Real-Time Input-Output Tabulation and AI —Combinations and Connections between Optimal Input-Output Planning Model and AI

  • Kang N
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Abstract

Be it the era of current Industry 3.0 (3D printing) or the era of Industry 4.0(customised production) in the future, as far as globalisation is concerned,based on combinations of automation & information and intelligence, the applicationof Big Data, new Cloud Computing technologies, Internet of Thingsor new internet industry and AI will usher in a huge revolution to humanbeings, which will consequently rock foundations of modern economy, politics,social sciences, management and accounting, etc. and even bring aboutfundamentally changes and development, and hence an era for technologyindustry going novelty, i.e. customised production. Commercial re-group andthe drastic society change will influence not only the overall ecological patternaround the world but also human beings' value system, knowledge systemand life style. Many seeming probabilities today will become impossiblewhile the impossible at the moment will go real in the future. Under suchcomplicated, constantly changing and rapidly developing circumstance, onlywhen the passive situation of tabulating and interpreting is completely changed,can national economy's smooth operation be directed by the objective law ofcoordinated development, and thus, to achieve the utmost economic efficiency.The scientific foundation of the real-time input-output tabulation method andAI is rightly designed on the basis of the above dreaming realisation. Thisthesis will take the real-time analysis of the optimal input-output planningmodel and a timely analysis of input-output statistical model as an example toillustrate how to realise the good wish.

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APA

Kang, N. (2019). Scientific Foundation of Real-Time Input-Output Tabulation and AI —Combinations and Connections between Optimal Input-Output Planning Model and AI. American Journal of Industrial and Business Management, 09(09), 1831–1872. https://doi.org/10.4236/ajibm.2019.99119

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